| 1. |
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| 2. |
- Aifa, Sami, 1967-, et al.
(författare)
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Electrostatic interactions of peptides flanking the tyrosine kinase domain in the epidermal growth factor receptor provides a model for intracellular dimerization and autophosphorylation
- 2006
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 62:4, s. 1036-1043
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Tidskriftsartikel (refereegranskat)abstract
- The mechanism by which ligand-activated EGFR induces autophosphorylation via dimerization is not fully understood. Structural studies have revealed an extracellular loop mediated receptor dimerization. We have previously presented experimental data showing the involvement of a positive 13 amino acid peptide (R645-R657, P13+) from the intracellular juxtamembrane domain (JM) of EGFR important for intracellular dimerization and autophosphorylation. A model was presented that suggest that P13+ interacts with a negative peptide (D979-E991, P13-) positioned distal to the tyrosine kinase domain in the opposite EGFR monomer. The present work shows additional data strengthening this model. In fact, by analyzing protein sequences of 21 annotated ErbB proteins from 9 vertebrate genomes, we reveal the high conservation of peptides P13+ and P13- with regard to their sequence as well as their position relative to the tyrosine kinase (TK) domain. Moreover in silico structure modeling of these ErbB intracellular domains supports a general electrostatic P13+/P13- interaction, implying that the C-terminal of one receptor monomer is facing the TK domain of the other monomer in the receptor dimer and vice versa. This model provides new insights into the molecular mechanism of ErbB receptor activation and suggests a new strategy to pharmacologically interfering with ErbB receptor activity. © 2005 Wiley-Liss, Inc.
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| 8. |
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| 11. |
- Gurmu, Daniel, et al.
(författare)
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The crystal structure of the protein YhaK from Escherichia coli reveals a new subclass of redox sensitive enterobacterial bicupins
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 74:1, s. 18-31
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Tidskriftsartikel (refereegranskat)abstract
- YhaK is a protein of unknown function found in low abundance in the cytosol of Escherichia coli. DNA array studies have revealed that YhaK is strongly up-regulated by nitroso-glutathione (GSNO) and also displays a 12-fold increase in expression during biofilm growth of E. coli 83972 and VR50 in human urine. We have determined the YhaK crystal structure and demonstrated that in vitro YhaK is a good marker for monitoring oxidative stresses in E. coli. The YhaK protein structure shows a bicupin fold where the two cupin domains are crosslinked with one intramolecular disulfide bond (Cys10 to Cys204). We found that the third cysteine in YhaK, Cys122, is oxidized to a sulfenic acid. Two chloride ions are found in the structure, one close to the reactive Cys122, and the other on a hydrophobic surface close to a symmetry-related molecule. There are major structural differences at the N-terminus of YhaK compared with similar structures that also display the bicupin fold (YhhW and hPirin). YhaK showed no quercetinase and peroxidase activity. However, reduced YhaK was very sensitive to reactive oxygen species (ROS). The complete, functional E. coli glutaredoxin or thioredoxin systems protected YhaK from oxidation. E. coli thioredoxin reductase and NADPH produced ROS and caused oxidation and oligomerization of reduced YhaK. Taken together, we propose that YhaK is the first of a new sub-class of bicupins that lack the canonical cupin metal-binding residues of pirins and may be involved in chloride binding and/or sensing of oxidative stress in enterobacteria.
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| 12. |
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| 13. |
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| 14. |
- Hvidsten, Torgeir R., et al.
(författare)
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Local descriptors of protein structure : A systematic analysis of the sequence-structure relationship in proteins using short- and long-range interactions
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 75:4, s. 870-884
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Tidskriftsartikel (refereegranskat)abstract
- Local protein structure representations that incorporate long-range contacts between residues are often considered in protein structure comparison but have found relatively little use in structure prediction where assembly from single backbone fragments dominates. Here, we introduce the concept of local descriptors of protein structure to characterize local neighborhoods of amino acids including short- and long-range interactions. We build a library of recurring local descriptors and show that this library is general enough to allow assembly of unseen protein structures. The library could on average re-assemble 83% of 119 unseen structures, and showed little or no performance decrease between homologous targets and targets with folds not represented among domains used to build it. We then systematically evaluate the descriptor library to establish the level of the sequence signal in sets of protein fragments of similar geometrical conformation. In particular, we test whether that signal is strong enough to facilitate correct assignment and alignment of these local geometries to new sequences. We use the signal to assign descriptors to a test set of 479 sequences with less than 40% sequence identity to any domain used to build the library, and show that on average more than 50% of the backbone fragments constituting descriptors can be correctly aligned. We also use the assigned descriptors to infer SCOP folds, and show that correct predictions can be made in many of the 151 cases where PSI-BLAST was unable to detect significant sequence similarity to proteins in the library. Although the combinatorial problem of simultaneously aligning several fragments to sequence is a major bottleneck compared with single is that correct alignments imply correct long range distance constraints. The lack of these constraints is most likely the major reason why structure prediction methods fail to consistently produce adequate models when good templates are unavailable or undetectable. Thus, we believe that the current study offers new and valuable insight into the prediction of sequence-structure relationships in proteins.
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| 15. |
- Illergård, Kristoffer, et al.
(författare)
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Structure is three to ten times more conserved than sequence-A study of structural response in protein cores
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 77:3, s. 499-508
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Tidskriftsartikel (refereegranskat)abstract
- Protein structures change during evolution in response to mutations. Here, we analyze the mapping between sequence and structure in a set of structurally aligned protein domains. To avoid artifacts, we restricted our attention only to the core components of these structures. We found that on average, using different measures of structural change, protein cores evolve linearly with evolutionary distance (amino acid substitutions per site). This is true irrespective of which measure of structural change we used, whether RMSD or discrete structural descriptors for secondary structure, accessibility, or contacts. This linear response allows us to quantify the claim that structure is more conserved than sequence. Using structural alphabets of similar cardinality to the sequence alphabet, structural cores evolve three to ten times slower than sequences. Although we observed an average linear response, we found a wide variance. Different domain families varied fivefold in structural response to evolution. An attempt to categorically analyze this variance among subgroups by structural and functional category revealed only one statistically significant trend. This trend can be explained by the fact that beta-sheets change faster than alpha-helices, most likely due to that they are shorter and that change occurs at the ends of the secondary structure elements. Proteins 2009; 77:499-508. (C) 2009 Wiley-Liss, Inc.
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| 16. |
- Irbäck, Anders, et al.
(författare)
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Spontaneous beta-barrel formation: an all-atom study of Abeta(16-22) oligomerization
- 2008
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 71:1, s. 207-214
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Tidskriftsartikel (refereegranskat)abstract
- Using all-atom Monte Carlo simulations with implicit water, combined with a cluster size analysis, we study the aggregation of A16-22, a peptide capable of forming amyloid fibrils. We consider a system of six initially randomly oriented A16-22 peptides, and investigate the thermodynamics and structural properties of aggregates formed by this system. The system is unaggregated without ordered secondary structure at high temperature, and forms -sheet rich aggregates at low temperature. At the crossover between these two regimes, we find that clusters of all sizes occur, whereas the -strand content is low. In one of several runs, we observe the spontaneous formation of a -barrel with six antiparallel strands. The -barrel stands out as the by far most long-lived aggregate seen in our simulations.
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| 17. |
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| 18. |
- Kontijevskis, Aleksejs, et al.
(författare)
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Computational proteomics analysis of HIV-1 protease interactome
- 2007
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 68:1, s. 305-312
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Tidskriftsartikel (refereegranskat)abstract
- HIV-1 protease is a small homodimeric enzyme that ensures maturation of HIV virions by cleaving the viral precursor Gag and Gag-Pol polyproteins into structural and functional elements. The cleavage sites in the viral polyproteins share neither sequence homology nor binding motif and the specificity of the HIV-1 protease is therefore only partially understood. Using an extensive data set collected from 16 years of HIV proteome research we have here created a general and predictive rule-based model for HIV-1 protease specificity based on rough sets. We demonstrate that HIV-1 protease specificity is much more complex than previously anticipated, which cannot be defined based solely on the amino acids at the substrate's scissile bond or by any other single substrate amino acid position only. Our results show that the combination of at least three particular amino acids is needed in the substrate for a cleavage event to occur. Only by combining and analyzing massive amounts of HIV proteome data it was possible to discover these novel and general patterns of physico-chemical substrate cleavage determinants. Our study is an example how computational biology methods can advance the understanding of the viral interactomes.
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| 19. |
- Kontijevskis, Aleksejs, et al.
(författare)
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Proteochemometric analysis of small cyclic peptides' interaction with wild-type and chimeric melanocortin receptors
- 2007
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 69:1, s. 83-96
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Tidskriftsartikel (refereegranskat)abstract
- The melanocortin (MC) system confines unique G-protein coupled receptor pathways, which include the MC1-5 receptors and their endogenous agonists and antagonists, the MCs and the agouti and agouti-related proteins. The MC4 receptor is an important target for development of drugs for treatment of obesity and cachexia. While natural MC peptides are selective for the MC1 receptor, some cyclic pentapeptides, such as the HS-129 peptide, show high selectivity for the MC4 receptor. Here we gained insight into the mechanisms for its recognition by MC receptors. To this end we correlated the interaction data of four HS peptide analogues with four wild-type and 14 multiple chimeric MC receptors to the binary and physicochemical descriptions of the studied entities by use of partial least squares regression, which resulted in highly valid proteochemometric models. Analysis of the models revealed that the recognition sites of the HS peptides are different from the earlier proteochemometrically mapped linear MSH peptides' recognitions sites, although they overlap partially. The analysis also revealed important amino acids that explain the selectivity of the HS-129 peptide for the MC4 receptor.
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| 20. |
- Kumar, Niti, et al.
(författare)
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Intrinsically disordered protein from a pathogenic mesophile Mycobacterium tuberculosis adopts structured conformation at high temperature.
- 2008
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 71:3, s. 1123-33
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Tidskriftsartikel (refereegranskat)abstract
- Compared to eukaryotes, the occurrence of "intrinsically disordered" or "natively unfolded" proteins in prokaryotes has not been explored extensively. Here, we report the occurrence of an intrinsically disordered protein from the mesophilic human pathogen Mycobacterium tuberculosis. The Histidine-tagged recombinant Rv3221c biotin-binding protein is intrinsically disordered at ambient and physiological growth temperatures as revealed by circular dichroism and Fourier transform infrared (FTIR) spectroscopic studies. However, an increase in temperature induces a transition from disordered to structured state with a folding temperature of approximately 53 degrees C. Addition of a structure inducing solvent trifluoroethanol (TFE) causes the protein to fold at lower temperatures suggesting that TFE fosters hydrophobic interactions, which drives protein folding. Differential Scanning Calorimetry studies revealed that folding is endothermic and the transition from a disordered to structured state is continuous (higher-order), implying existence of intermediates during folding process. Secondary structure analysis revealed that the protein has propensity to form beta-sheets. This is in conformity with FTIR spectrum that showed an absorption peak at wave number of 1636 cm(-1), indicative of disordered beta-sheet conformation in the native state. These data suggest that although Rv3221c may be disordered under ambient or optimal growth temperature conditions, it has the potential to fold into ordered structure at high temperature driven by increased hydrophobic interactions. In contrast to the generally known behavior of other intrinsically disordered proteins folding at high temperature, Rv3221c does not appear to oligomerize or aggregate as revealed through numerous experiments including Congo red binding, Thioflavin T-binding, turbidity measurements, and examining molar ellipticity as a function of protein concentration. The amino acid composition of Rv3221c reveals that it has 24% charged and 54.9% hydrophobic amino acid residues. In this respect, this protein, although belonging to the class of intrinsically disordered proteins, has distinct features. The intrinsically disordered state and the biotin-binding feature of this protein suggest that it may participate in many biochemical processes requiring biotin as a cofactor and adopt suitable conformations upon binding other folded targets.
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| 21. |
- Lapinsh, Maris, et al.
(författare)
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Proteochemometric modeling reveals the interaction site for Trp9 modified alpha-MSH peptides in melanocortin receptors
- 2007
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 67:3, s. 653-660
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Tidskriftsartikel (refereegranskat)abstract
- The interactions of α-MSH peptides with melanocortin receptors (MCRs) were located by proteochemometric modeling. Nine α-MSH peptide analogues were constructed by exchanging the Trp9 residue in the α-MSH core with the natural or artificial amino acids Arg, Asp, Cys, Gly, Leu, Nal, d-Nal, Pro, or d-Trp. The nine peptides created, and α-MSH itself, were evaluated for their interactions with the 4 wild-type MC1,3-5Rs and 15 multichimeric MCRs, each of the latter being constructed from three sequence segments, each taken from a different wild-type MC1,3-5R. The segments of the chimeric MCRs were selected according to the principles of statistical molecular design and were arranged so as to divide the receptors into five parts. By this approach, a set of 19 maximally diverse MC receptor proteins was obtained for which the interaction activity with the 10 peptides were measured by radioligand binding thus creating data for 190 ligand-protein pairs, which were subsequently analyzed by use of proteochemometric modeling. In proteochemometrics, the structural or physicochemical properties of both interaction partners, which represent the complementarity of the interacting entities, are used to create multivariate mathematical descriptions. (Here, physicochemical property descriptors of the receptors' and peptides' amino acids were used). A valid, highly predictive (Q2 = 0.74) and easily interpretable model was then obtained. The model was further validated by its ability to correctly predicting the affinity of α-MSH for new point and cassette-mutated MC4/MC1RS, and it was then used to identify the receptor residues that are important for affording the high affinity and selectivity of α-MSH for the MC1R. It was revealed that these residues are located in several quite distant parts of the receptors' transmembrane cavity and must therefore cause their influence at various stages of the dynamic ligand-binding process, such as by affecting the conformation of the ligand at the vicinity of the receptor and taking part in the path of the ligand's entry into its binding pocket. Our study can be used as a template how to create high resolution proteochemometric models when there are a limited number of natural proteins and ligands available.
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| 22. |
- Larsson, Per, et al.
(författare)
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Assessment of global and local model quality in CASP8 using Pcons and ProQ
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 77:9, s. 167-172
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Tidskriftsartikel (refereegranskat)abstract
- Model Quality Assessment Programs (MQAPs) are programs developed to rank protein models. These methods can be trained to predict the overall global quality of a model or what local regions in a model that are likely to be incorrect. In CASP8, we participated with two predictors that predict both global and local quality using either consensus information, Pcons, or purely structural information, ProQ. Consistently with results in previous CASPs, the best performance in CASP8 was obtained using the Pcons method. Furthermore, the results show that the modification introduced into Pcons for CASP8 improved the predictions against GDT_TS and now a correlation coefficient above 0.9 is achieved, whereas the correlation for ProQ is about 0.7. The correlation is better for the easier than for the harder targets, but it is not below 0.5 for a single target and below 0.7 only for three targets. The correlation coefficient for the best local quality MQAP is 0.68 showing that there is still clear room for improvement within this area. We also detect that Pcons still is not always able to identify the best model. However, we show that using a linear combination of Pcons and ProQ it is possible to select models that are better than the models from the best single server. In particular, the average quality over the hard targets increases by about 6% compared with using Pcons alone.
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| 23. |
- Lubovac, Zelmina, et al.
(författare)
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Combining functional and topological properties to identify core modules in protein interaction networks
- 2006
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Ingår i: Proteins. - : John Wiley & Sons. - 0887-3585 .- 1097-0134. ; 64:4, s. 948-959
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Tidskriftsartikel (refereegranskat)abstract
- Advances in large-scale technologies in proteomics, such as yeast two-hybrid screening and mass spectrometry, have made it possible to generate large Protein Interaction Networks (PINs). Recent methods for identifying dense sub-graphs in such networks have been based solely on graph theoretic properties. Therefore, there is a need for an approach that will allow us to combine domain-specific knowledge with topological properties to generate functionally relevant sub-graphs from large networks. This article describes two alternative network measures for analysis of PINs, which combine functional information with topological properties of the networks. These measures, called weighted clustering coefficient and weighted average nearest-neighbors degree, use weights representing the strengths of interactions between the proteins, calculated according to their semantic similarity, which is based on the Gene Ontology terms of the proteins. We perform a global analysis of the yeast PIN by systematically comparing the weighted measures with their topological counterparts. To show the usefulness of the weighted measures, we develop an algorithm for identification of functional modules, called SWEMODE (Semantic WEights for MODule Elucidation), that identifies dense sub-graphs containing functionally similar proteins. The proposed method is based on the ranking of nodes, i.e., proteins, according to their weighted neighborhood cohesiveness. The highest ranked nodes are considered as seeds for candidate modules. The algorithm then iterates through the neighborhood of each seed protein, to identify densely connected proteins with high functional similarity, according to the chosen parameters. Using a yeast two-hybrid data set of experimentally determined protein-protein interactions, we demonstrate that SWEMODE is able to identify dense clusters containing proteins that are functionally similar. Many of the identified modules correspond to known complexes or subunits of these complexes.
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| 24. |
- Magnusdottir, Audur, et al.
(författare)
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The structure of the PP2A regulatory subunit B56gamma : The remaining piece of the PP2A jigsaw puzzle
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 74:1, s. 212-221
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Tidskriftsartikel (refereegranskat)abstract
- The PP2A serine/threonine phosphatase regulates a plethora of cellular processes. In the cell the predominant form of the enzyme is a heterotrimer, formed by a core dimer composed of a catalytic and a scaffolding subunit, which assemble together with one of a range of different regulatory B subunits. Here, we present the first structure of a free non-complexed B subunit, B56. Comparison with the recent structures of a heterotrimeric complex and the core dimer reveals several significant conformational changes in the interface region between the B56 and the core dimer. These allow for an assembly scheme of the PP2A holoenzyme to be put forth where B56 first complexes with the scaffolding subunit and subsequently binds to the catalytic subunit and this induces the formation of a binding site for the invariant C-terminus of the catalytic subunit that locks in the complex as a last step of assembly.
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| 25. |
- Mark, Pekka, et al.
(författare)
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Analysis of nasturtium TmNXG1 complexes by crystallography and molecular dynamics provides detailed insight into substrate recognition by family GH16 xyloglucan endo-transglycosylases and endo-hydrolases
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 75:4, s. 820-836
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Tidskriftsartikel (refereegranskat)abstract
- Reorganization and degradation of the wall crosslinking and seed storage polysaccharide xyloglucan by glycoside hydrolase family 16 (GH16) endo-transglycosylases and hydrolases are crucial to the growth of the majority of land plants, affecting processes as diverse as germination, morphogenesis, and fruit ripening. A high-resolution, three-dimensional structure of a nasturtium (Tropaeolum majus) endo-xyloglucanase loop mutant, TmNXG1-Delta YNIIG, with an ohgosaccharide product bound in the negative active-site subsites, has been solved by X-ray crystallography. Comparison of this novel complex to that of the strict xyloglucan endotransglycosylase PttXET16-34 from hybrid aspen (Populus tremula x tremuloides), previously solved with a xylogluco-oligosaccharide bound in the positive subsites, highlighted key protein structures that affect the disparate catalytic activities displayed by these closely related enzymes. Combination of these "partial" active-site complexes through molecular dynamics simulations in water allowed modeling of wild-type TmNXG1, TmNXG1-Delta YNIIG, and wild-type PttXET16-34 in complex with a xyloglucan octadecasaccharide spanning the entire catalytic cleft. A comprehensive analysis of these full-length complexes underscored the importance of various loops lining the active site. Subtle differences leading to a tighter hydrogen bonding pattern on the negative (glycosyl donor) binding subsites, together with loop flexibility on the positive (glycosyl acceptor) binding subsites appear to favor hydrolysis over transglycosylation in GH16 xyloglucan-active enzymes.
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| 26. |
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| 27. |
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| 28. |
- Sagemark, Johan, et al.
(författare)
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Redox properties and evolution of human glutaredoxins
- 2007
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 68:4, s. 879-892
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Tidskriftsartikel (refereegranskat)abstract
- Glutaredoxins (Grxs) are glutathione-dependent oxidoreductases that belong to the thioredoxin superfamily catalyzing thiol-disulfide exchange reactions via active site cysteine residues. Focusing on the human dithiol glutaredoxins having a C-X-Y-C active site sequence motif, the redox potentials of hGrxl and hGrx2 were determined to be -232 and -221 mV, respectively, using a combination of redox buffers, protein-protein equilibrium and thermodynamic linkage. In addition, a nonactive site disulfide was identified between Cys28 and Cys.113 in hGrx2 using redox buffers and chemical digestion. This disulfide confers nearly five kcal mol-1 additional stability by linking the C-terminal helix to the bulk of the protein. The redox potential of this nonactive site disulfide was determined to be -317 mVand is thus expected to be present in all but the most reducing conditions in vivo. As all human glutaredoxins contain additional nonactive site cysteine residues, a full phylogenetic analysis was performed to help elucidate their structural and functional roles. Three distinct groups were found: Grx1, Grx2, and Grx5, the latter representing a highly conserved group of monothiol glutaredoxins having a C-G-F-S active site sequence, with clear homologs from bacteria to human. Grx1 and Grx2 diverged from a common ancestor before the origin vertebrates, possibly even earlier in animal evolution. The highly stabilizing nonactive site disulfide observed in hGrx2 is found to be a conserved feature within the deuterostomes and appears to be the only additional conserved intramolecular disulfide within the glutaredoxins.
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| 29. |
- Soeria-Atmadja, Daniel, et al.
(författare)
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External cross-validation for unbiased evaluation of protein family detectors : application to allergens
- 2005
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 61:4, s. 918-925
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Tidskriftsartikel (refereegranskat)abstract
- Key issues in protein science and computational biology are design and evaluation of algorithms aimed at detection of proteins that belong to a specific family, as defined by structural, evolutionary, or functional criteria. In this context, several validation techniques are often used to compare different parameter settings of the detector, and to subsequently select the setting that yields the smallest error rate estimate. A frequently overlooked problem associated with this approach is that this smallest error rate estimate may have a large optimistic bias. Based on computer simulations, we show that a detector's error rate estimate can be overly optimistic and propose a method to obtain unbiased performance estimates of a detector design procedure. The method is founded on an external 10-fold cross-validation (CV) loop that embeds an internal validation procedure used for parameter selection in detector design. The designed detector generated in each of the 10 iterations are evaluated on held-out examples exclusively available in the external CV iterations. Notably, the average of these 10 performance estimates is not associated with a final detector, but rather with the average performance of the design procedure used. We apply the external CV loop to the particular problem of detecting potentially allergenic proteins, using a previously reported design procedure. Unbiased performance estimates of the allergen detector design procedure are presented together with information about which algorithms and parameter settings that are most frequently selected.
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| 30. |
- Strömbergsson, Helena, et al.
(författare)
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Generalized modeling of enzyme-ligand interactions using proteochemometrics and local protein substructures
- 2006
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 65:3, s. 568-579
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Tidskriftsartikel (refereegranskat)abstract
- Modeling and understanding protein-ligand interactions is one of the most important goals in computational drug discovery. To this end, proteochemometrics uses structural and chemical descriptors from several proteins and several ligands to induce interaction-models. Here, we present a new and generalized approach in which proteins varying greatly in terms of sequence and structure are represented by a library of local substructures. Using linear regression and rule-based learning, we combine such local substructures with chemical descriptors from the ligands to model binding affinity for a training set of hydrolase and lyase enzymes. We evaluate the predictive performance of these models using cross validation and sets of unseen ligand with unknown three-dimensional structure. The models are shown to generalize by outperforming models using descriptors from only proteins or only ligands, or models using global structure similarities rather than local similarities. Thus, we demonstrate that this approach is capable of describing dependencies between local structural properties and ligands in otherwise dissimilar protein structures. These dependencies are often, but not always, associated with local substructures that are in contact with the ligands. Finally, we show that strongly bound enzyme-ligand complexes require the presence of particular local substructures, while weakly bound complexes may be described by the absence of certain properties. The results demonstrate that the alignment-independent approach using local substructures is capable of describing protein-ligand interaction for largely different proteins and hence opens up for proteochemometrics-analysis of the interaction-space of entire proteomes. Current approaches are limited to families of closely related proteins. families of closely related proteins.
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| 31. |
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| 32. |
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| 33. |
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| 34. |
- Tångrot, Jeanette, et al.
(författare)
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Accurate Domain Identification with Structure-Anchored Hidden Markov Models, saHMMs
- 2009
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 76:2, s. 343-352
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Tidskriftsartikel (refereegranskat)abstract
- The ever increasing speed of DNA sequencing widens the discrepancy between the number of known gene products, and the knowledge of their function and structure. Proper annotation of protein sequences is therefore crucial if the missing information is to be deduced from sequence-based similarity comparisons. These comparisons become exceedingly difficult as the pairwise identities drop to very low values. To improve the accuracy of domain identification, we exploit the fact that the three-dimensional structures of domains are much more conserved than their sequences. Based on structure-anchored multiple sequence alignments of low identity homologues we constructed 850 structure-anchored hidden Markov models (saHMMs), each representing one domain family. Since the saHMMs are highly family specific, they can be used to assign a domain to its correct family and clearly distinguish it from domains belonging to other families, even within the same superfamily. This task is not trivial and becomes particularly difficult if the unknown domain is distantly related to the rest of the domain sequences within the family. In a search with full length protein sequences, harbouring at least one domain as defined by the structural classification of proteins database (SCOP), version 1.71, versus the saHMM database based on SCOP version 1.69, we achieve an accuracy of 99.0%. All of the few hits outside the family fall within the correct superfamily. Compared to Pfam_ls HMMs, the saHMMs obtain about 11% higher coverage. A comparison with BLAST and PSI-BLAST demonstrates that the saHMMs have consistently fewer errors per query at a given coverage. Within our recommended E-value range, the same is true for a comparison with SUPERFAMILY. Furthermore, we are able to annotate 232 proteins with 530 nonoverlapping domains belonging to 102 different domain families among human proteins labelled unknown in the NCBI protein database. Our results demonstrate that the saHMM database represents a versatile and reliable tool for identification of domains in protein sequences. With the aid of saHMMs, homology on the family level can be assigned, even for distantly related sequences. Due to the construction of the saHMMs, the hits they provide are always associated with high quality crystal structures. The saHMM database can be accessed via the FISH server at http://babel.ucmp.umu.se/fish/.
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| 35. |
- Zumarraga, Miren, et al.
(författare)
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Altering the laccase functionality by in vivo assembly of mutant libraries with different mutational spectra
- 2008
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 71:1, s. 250-260
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Tidskriftsartikel (refereegranskat)abstract
- The generation of diversity for directed protein evolution experiments shows an important bottleneck in the in vitro random mutagenesis protocols. Most Of them are biased towards specific changes that eventually confer a predicted and conservative mutational spectrum, limiting the exploration of the vast protein space. The current work describes a simple methodology to in vivo recombine mutant libraries with different nucleotide bias created by in vitro methods. This in vivo assembly was based on the accurate physiology of Saccharomyces cerevisiae, which as host, provided its high homologous recombination frequency to shuffle the libraries in a nonmutagenic way. The fungal thermophilic laccase from Myceliophthora thermophila expressed in S. cerevisiae was submitted to this protocol under the selective pressure of high concentrations of organic solvents. Mutant 2E9 with similar to 3-fold better kinetics than parent type showed two consecutive amino acid changes (G614D -GGC/GAC- and E615K -GAG/AAG-) because of the in vivo shuffling of the mutant libraries. Both mutations are located in the C-terminal tail that is specifically processed at the Golgi during the maturation of the protein by the Kex2 protease. Notoriously, the oxygen consumption at the T2/T3 trinuclear copper cluster was altered and the catalytic copper at the T1 site was perturbed showing differences in its redox potential and geometry. The change in the isoelectric point of C-terminal extension upon mutations seems to affect the folding of the protein at the posttranslational processing steps providing new insights in the significance of the C-terminal tail for the functionality of the ascomycete laccases.
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| 36. |
- Autin, L, et al.
(författare)
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Proposed structural models of the prothrombinase (FXa-FVa) complex
- 2006
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 63:3, s. 440-450
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Tidskriftsartikel (refereegranskat)abstract
- Activated coagulation factor V (FVa) functions as a cofactor to factor Xa (FXa) in the conversion of prothrombin (PT) to thrombin. This essential procoagulant reaction, despite being the subject of extensive investigation, is not fully understood structurally and functionally. To elucidate the structure of the FXa-FVa complex, we have performed protein:protein (Pr:Pr) docking simulation with the pseudo-Brownian Pr:Pr docking ICM package and with the shape-complementarity Pr:Pr docking program PPD. The docking runs were carried out using a new model of full-length human FVa and the X-ray structure of human FXa. Five representative models of the FXa-FVa complex were in overall agreement with some of the available experimental data, but only one model was found to be consistent with almost all of the reported experimental results. The use of hybrid docking approach (theoretical plus experimental) is definitively important to study such large macromolecular complexes. The FXa-FVa model we have created will be instrumental for further investigation of this macromolecular system and will guide future site directed mutagenesis experiments.
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| 37. |
- Boros, S, et al.
(författare)
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Site-specific transamidation and deamidation of the small heat-shock protein Hsp20 by tissue transglutaminase
- 2006
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 62:4, s. 1044-1052
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Tidskriftsartikel (refereegranskat)abstract
- Crosslinking of small heat-shock proteins (sHsps) by tissue transglutaminase (tTG) is enhanced by stress and under pathological conditions. We here used hexapeptide probes to determine the amine donor (K) and acceptor (Q) sites for tTG in Hsp20. Mass spectrometric peptide mass fingerprinting and peptide fragmentation established that Q(31) and the C-terminal K-162 are involved in inter- and intramolecular crosslinking (transamidation). Q(31) is a conserved glutamine in sHsps where the neighboring residue determines its reactivity. Moreover, we detected highly efficient simultaneous deamidation of Q(66), which suggests that tTG-catalyzed transamidation and deamidation is specific for different glutamine residues.
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| 38. |
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| 39. |
- Irbäck, Anders, et al.
(författare)
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Thermal versus mechanical unfolding of ubiquitin
- 2006
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 65:3, s. 759-766
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Tidskriftsartikel (refereegranskat)abstract
- The authors studied the temperature-induced unfolding of ubiquitin by all-atom Monte Carlo simulations. The unfolding behavior is compared with that seen in previous simulations of the mechanical unfolding of this protein, based on the same model. In mechanical unfolding, secondary-structure elements were found to break in a quite well-defined order. In thermal unfolding, the authors saw somewhat larger event-to-event fluctuations, but the unfolding pathway, was still far from random. Two long-lived secondary-structure elements could be identified in the simulations. These two elements have been found experimentally to be the thermally most stable ones. Interestingly, one of these long-lived elements, the first P-hairpin, was found to break early in the mechanical unfolding simulations. Their combined simulation results thus enable the authors to predict in detail important differences between the thermal and mechanical unfolding behaviors of ubiquitin.
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| 40. |
- Janowski, R, et al.
(författare)
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3D domain-swapped human cystatin c with amyloidlike intermolecular beta-sheets
- 2005
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Ingår i: Proteins. - : Wiley. - 0887-3585. ; 61:3, s. 570-578
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Tidskriftsartikel (refereegranskat)abstract
- Oligomerization of human cystatin C (HCC) leads to amyloid deposits in brain arteries, and this process is greatly accelerated with a naturally occurring L68Q variant. The crystal structures of N-truncated and full-length HCC (cubic form) showed dimer formation via three-dimensional (3D) domain swapping, and this observation has led to the suggestion that an analogous domain-swapping mechanism, but propagated in an open-ended fashion, could be the basis of HCC fibril formation. Here we report that full-length HCC, when crystallized in a new, tetragonal form, dimerizes by swapping the same secondary structure elements but with a very different overall structure generated by the flexibility of the hinge linking the moveable elements. The beta-strands of the beta-cores of the two folding units of the present dimer are roughly parallel, while they formed an angle of about 100 degrees in the previous two structures. The dimers pack around a crystallographic dyad by extending their molecular beta-sheets in an intermolecular context. At the other edge of the molecular beta-sheet, side-chain-side-chain hydrogen bonds propagate the beta-structure in the same direction. In consequence, a supramolecular crystal structure is generated, with all the P-strands of the domain-swapped dimers being perpendicular to one crystallographic direction. This observation is relevant to amyloid aggregation of HCC, as X-ray diffraction studies of amyloid fibrils show them to have ordered, repeating structure, consistent with the so-called cross-beta structure, in which extended polypeptide chains are perpendicular to the fiber axis and form infinite beta-sheets that are parallel to this axis.
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| 41. |
- Strömbergsson, Helena, et al.
(författare)
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Rough set-based proteochemometrics modeling of G-protein-coupled receptor-ligand
- 2006
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Ingår i: Proteins: Structure, Function, and Bioinformatics. - 1097-0134. ; 63:1, s. 24-34
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Tidskriftsartikel (refereegranskat)abstract
- G-Protein-coupled receptors (GPCRs) are among the most important drug targets. Because of a shortage of 3D crystal structures, most of the drug design for GPCRs has been ligand-based. We propose a novel, rough set-based proteochemometric approach to the study of receptor and ligand recognition. The approach is validated on three datasets containing GPCRs. In proteochemometrics, properties of receptors and ligands are used in conjunction and modeled to predict binding affinity. The rough set (RS) rule-based models presented herein consist of minimal decision rules that associate properties of receptors and ligands with high or low binding affinity. The information provided by the rules is then used to develop a mechanistic interpretation of interactions between the ligands and receptors included in the datasets. The first two datasets contained descriptors of melanocortin receptors and peptide ligands. The third set contained descriptors of adrenergic receptors and ligands. All the rule models induced from these datasets have a high predictive quality. An example of a decision rule is If R1_ligand(Ethyl) and TM helix 2 position 27(Methionine) then Binding(High). The easily interpretable rule sets are able to identify determinative receptor and ligand parts. For instance, all three models suggest that transmembrane helix 2 is determinative for high and low binding affinity. RS models show that it is possible to use rule-based models to predict ligand-binding affinities. The models may be used to gain a deeper biological understanding of the combinatorial nature of receptor-ligand interactions.
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| 42. |
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| 43. |
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| 44. |
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