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1.
  • Lehtio, J., et al. (author)
  • Alpha-amylase inhibitors selected from a combinatorial library of a cellulose binding domain scaffold
  • 2000
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 41:3, s. 316-322
  • Journal article (peer-reviewed)abstract
    • A disulfide bridge-constrained cellulose binding domain (CBD,) derived from the cellobiohydrolase Ce17A from Trichoderma reesei has been investigated for use in scaffold engineering to obtain novel binding proteins. The gene encoding the wild-type 36 aa CBDWT domain was first inserted into a phagemid vector and shown to be functionally displayed on M13 filamentous phage as a protein III fusion protein with retained cellulose binding activity. A combinatorial library comprising 46 million variants of the CBD domain was constructed through randomization of 11 positions located at the domain surface and distributed over three separate beta -sheets of the domain. Using the enzyme porcine alpha-amylase (PPA) as target in biopannings, two CBD variants showing selective binding to the enzyme were characterized. Reduction and iodoacetamide blocking of cysteine residues in selected CBD variants resulted in a loss of binding activity, indicating a conformation dependent binding. Interestingly, further studies showed that the selected CBD variants were capable of competing with the binding of the amylase inhibitor acarbose to the enzyme. In addition, the enzyme activity could be partially inhibited by addition of soluble protein, suggesting that the selected CBD variants bind to the active site of the enzyme.
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2.
  • Andersson, K, et al. (author)
  • Kinetic characterization of the interaction of the Z-fragment of protein A with mouse-IgG3 in a volume in chemical space.
  • 1999
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 37:3
  • Journal article (peer-reviewed)abstract
    • The kinetic rate parameters for the interaction between a single domain analogue of staphylococcal protein A (Z) and a mouse-IgG3 monoclonal antibody (MAb) were measured in Hepes buffer with different chemical additives. Five buffer ingredients (pH, NaCl, DMSO, EDTA, and KSCN) were varied simultaneously in 16 experiments following a statistical experimental plan. The 16 buffers thus spanned a volume in chemical space. A mathematical model, using data from the buffer composition, was developed and used to predict apparent kinetic parameters in five new buffers within the spanned volume. Association and dissociation parameters were measured in the new buffers, and these agreed with the predicted values, indicating that the model was valid within the spanned volume. The pattern of variation of the kinetic parameters in relation to buffer composition was different for association and dissociation, such that pH influenced both association and dissociation and NaCl influenced only dissociation. This indicated that the recognition mechanism (association) and the stability of the formed complex (dissociation) involve different binding forces, which can be further investigated by kinetic studies in systematically varied buffers.
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3.
  • Berndt, Kurt D, et al. (author)
  • Conformational sampling by NMR solution structures calculated with the program DIANA evaluated by comparison with long-time molecular dynamics calculations in explicit water
  • 1996
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 24, s. 304-313
  • Journal article (peer-reviewed)abstract
    • The NMR solution structure of bovine pancreatic trypsin inhibitor (BPTI) obtained by distance geometry calculations with the program DIANA is compared with groups of conformers generated by molecular dynamics (MD) simulations in explicit water at ambient temperature and pressure. The MD simulations started from a single conformer and were free or restrained either by the experimental NOE distance restraints or by time-averaged restraints; the groups of conformers were collected either in 10 ps intervals during 200 ps periods of simulation, or in 50 ps intervals during a 1 ns period of simulation. Overall, these comparisons show that the standard protein structure determination protocol with the program DIANA provides a picture of the protein structure that is in agreement with MD simulations using "realistic" potential functions over a nanosecond timescale. For well-constrained molecular regions there is a trend in the free MD simulation of duration 1 ns that the sampling of the conformation space is slightly increased relative to the DIANA calculations. In contrast, for surface-exposed side-chains that are less extensively constrained by the NMR data, the DIANA conformers tend to sample larger regions of conformational space than conformers selected from any of the MD trajectories. Additional insights into the behavior of surface side-chains come from comparison of the MD runs of 200 ps or 1 ns duration. In this time range the sampling of conformation space by the protein surface depends strongly on the length of the simulation, which indicates that significant side-chain transitions occur on the nanosecond timescale and that much longer simulations will be needed to obtain statistically significant data on side-chain dynamics.
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4.
  • Hargbo, Jeanette, et al. (author)
  • Hidden Markov Models That Use Predicted Secondary Structures For Fold Recognition
  • 1999
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 36:1, s. 68-76
  • Journal article (peer-reviewed)abstract
    • There are many proteins that share the same fold but have no clear sequence similarity. To predict the structure of these proteins, so called protein fold recognition methods have been developed. During the last few years, improvements of protein fold recognition methods have been achieved through the use of predicted secondary structures (Rice and Eisenberg, J Mol Biol 1997;267:1026-1038), as well as by using multiple sequence alignments in the form of hidden Markov models (HMM) (Karplus et al., Proteins Suppl 1997;1:134-139). To test the performance of different fold recognition methods, we have developed a rigorous benchmark where representatives for all proteins of known structure are matched against each other. Using this benchmark, we have compared the performance of automatically-created hidden Markov models with standard-sequence-search methods. Further, we combine the use of predicted secondary structures and multiple sequence alignments into a combined method that performs better than methods that do not use this combination of information. Using only single sequences, the correct fold of a protein was detected for 10% of the test cases in our benchmark. Including multiple sequence information increased this number to 16%, and when predicted secondary structure information was included as well, the fold was correctly identified in 20% of the cases. Moreover, if the correct secondary structure was used, 27% of the proteins could be correctly matched to a fold. For comparison, blast2, fasta, and ssearch identifies the fold correctly in 13-17% of the cases. Thus, standard pairwise sequence search methods perform almost as well as hidden Markov models in our benchmark. This is probably because the automatically-created multiple sequence alignments used in this study do not contain enough diversity and because the current generation of hidden Markov models do not perform very well when built from a few sequences. Proteins 1999;36:68-76
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5.
  • Knapp, S, et al. (author)
  • Thermal unfolding of small proteins with SH3 domain folding pattern
  • 1998
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 31:3, s. 309-319
  • Journal article (peer-reviewed)abstract
    • The thermal unfolding of three SH3 domains of the Tec family of tyrosine kinases was studied by differential scanning calorimetry and CD spectroscopy, The unfolding transition of the three protein domains in the acidic pH region can be described as a reversible two-state process. For all three SH3 domains maximum stability was observed in the pH region 4.5 < pH < 7.0 where these domains unfold at temperatures of 353K (Btk), 342K (Itk), and 344K (Tec), At these temperatures an enthalpy change of 196 kJ/mol, 178 kJ/mol, and 169 kJ/mol was measured for Btk-, Itk-, and Tec-SH3 domains, respectively. The determined changes in heat capacity between the native and the denatured state are in an usual range expected for small proteins. Our analysis revealed that all SH3 domains studied are only weakly stabilized and have free energies of unfolding which do not exceed 12-16 kJ/mol but show quite high melting temperatures. Comparing unfolding free energies measured for eukaryotic SH3 domains with those of the topologically identical Sso7d protein from the hyperthermophile Sulfolobus solfataricus, the increased melting temperature of the thermostable protein is due to a broadening as well as a significant lifting of its stability curve. However, at their physiological temperatures, 310K for mesophilic SH3 domains and 350K for Sso7d, eukaryotic SH3 domains and Sso7d show very similar stabilities. (C) 1998 Wiley-Liss, Inc.
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7.
  • Schneider, Gisbert, et al. (author)
  • Feature-extraction from endopeptidase cleavage sites in mitochondrial targeting peptides
  • 1998
  • In: Proteins. - 0887-3585 .- 1097-0134. ; 30:1, s. 49-60
  • Journal article (peer-reviewed)abstract
    • Cleavage sites in nuclear-encoded mitochondrial protein targeting peptides (mTPs) from mammals, yeast, and plants have been analysed for characteristic physicochemical features using statistical methods, perceptrons, multilayer neural networks, and self-organizing feature maps, Three different sequence motifs were found, revealing loosely defined arginine motifs with Arg in positions -10, -3, and -2. A self-organizing feature map was able to cluster these three types of endopeptidase target sites but did not identify any species-specific characteristics in mTPs, Neural networks were used to define local sequence features around precursor cleavage sites.
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8.
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9.
  • Agullo, Luis, et al. (author)
  • Computational exploration of the binding mode of heme-dependent stimulators into the active catalytic domain of soluble guanylate cyclase
  • 2016
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 84:10, s. 1534-1548
  • Journal article (peer-reviewed)abstract
    • Soluble guanylate cyclase (sGC), the main target of nitric oxide (NO), has been proven to have a significant role in coronary artery disease, pulmonary hypertension, erectile dysfunction, and myocardial infarction. One of its agonists, BAY 41-2272 (Riociguat), has been recently approved for treatment of pulmonary arterial hypertension (PHA), while some others are in clinical phases of development. However, the location of the binding sites for the two known types of agonists, heme-dependent stimulators and heme-independent activators, is a matter of debate, particularly for the first group where both a location on the regulatory (H-NOX) and on the catalytic domain have been suggested by different authors. Here, we address its potential location on the catalytic domain, the unique well characterized at the structural level, by an in silico approach. Homology models of the catalytic domain of sGC in inactive or active conformations were constructed using the structure of previously described crystals of the catalytic domains of inactive sGCs (2WZ1, 3ET6) and of active adenylate cyclase (1CJU). Each model was submitted to six independent molecular dynamics simulations of about 1 s. Docking of YC-1, a classic heme-dependent stimulator, to all frames of representative trajectories of inactive and active conformations, followed by calculation of absolute binding free energies with the linear interaction energy (LIE) method, revealed a potential high-affinity binding site on the active structure. The site, located between the pseudo-symmetric and the catalytic site just over the loop (2)-(3), does not overlap with the forskolin binding site on adenylate cyclases.
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10.
  • Aifa, Sami, 1967-, et al. (author)
  • Electrostatic interactions of peptides flanking the tyrosine kinase domain in the epidermal growth factor receptor provides a model for intracellular dimerization and autophosphorylation
  • 2006
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 62:4, s. 1036-1043
  • Journal article (peer-reviewed)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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11.
  • Andersson, David C., 1978-, et al. (author)
  • Mapping of ligand-binding cavities in proteins
  • 2010
  • In: Proteins. - : John Wiley & Sons, Inc. - 0887-3585 .- 1097-0134. ; 78:6, s. 1408-1422
  • Journal article (peer-reviewed)abstract
    • The complex interactions between proteins and small organic molecules (ligands) are intensively studied because they play key roles in biological processes and drug activities. Here, we present a novel approach to characterize and map the ligand-binding cavities of proteins without direct geometric comparison of structures, based on Principal Component Analysis of cavity properties (related mainly to size, polarity, and charge). This approach can provide valuable information on the similarities and dissimilarities, of binding cavities due to mutations, between-species differences and flexibility upon ligand-binding. The presented results show that information on ligand-binding cavity variations can complement information on protein similarity obtained from sequence comparisons. The predictive aspect of the method is exemplified by successful predictions of serine proteases that were not included in the model construction. The presented strategy to compare ligand-binding cavities of related and unrelated proteins has many potential applications within protein and medicinal chemistry, for example in the characterization and mapping of "orphan structures", selection of protein structures for docking studies in structure-based design, and identification of proteins for selectivity screens in drug design programs.
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12.
  • Andre, Ingemar, et al. (author)
  • Computational assessment of folding energy landscapes in heterodimeric coiled coils
  • 2018
  • In: Proteins. - : Wiley-Blackwell. - 0887-3585 .- 1097-0134. ; 86:7, s. 790-801
  • Journal article (peer-reviewed)abstract
    • The coiled coil structural motif consists of alpha helices supercoiling around each other to form staggered knobs-into-holes packing. Such structures are deceptively simple, especially as they often can be described with parametric equations, but are known to exist in various conformations. Even the simplest systems, consisting of 2 monomers, can assemble into a wide range of states. They can form canonical as well as noncanonical coiled coils, be parallel or antiparallel, where helices associate with different degrees of shift, tilt, and rotation. Here, we investigate the energy landscape of heterodimeric coiled coils by carrying out de novo folding simulations starting from amino acid sequence. We folded a diverse set of 22 heterodimers and demonstrate that the approach is capable of identifying the atomic details in the experimental structure in the majority of cases. Our methodology also enables exploration of alternative states that can be accessible in solution beyond the experimentally determined structure. For many systems, we observe folding energy landscapes with multiple energy minima and several isoenergetic states. By comparing coiled coils from single domains and those extracted from larger proteins, we find that standalone coiled coils have deeper energy wells at the experimentally determined conformation. By folding the competing homodimeric states in addition to the heterodimers, we observe that the structural specificity towards the heteromeric state is often small. Taken together, our results demonstrate that de novo folding simulations can be a powerful tool to characterize structural specificity of coiled coils when coupled to assessment of energy landscapes.
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13.
  • Berglund, Anders, et al. (author)
  • ProVal : A protein-scoring function for the selection of native and near-native folds
  • 2004
  • In: Proteins. - : Wiley-Liss, Inc. - 0887-3585 .- 1097-0134. ; 54:2, s. 289-302
  • Journal article (peer-reviewed)abstract
    • A low-resolution scoring function for the selection of native and near-native structures from a set of predicted structures for a given protein sequence has been developed. The scoring function, ProVal (Protein Validate), used several variables that describe an aspect of protein structure for which the proximity to the native structure can be assessed quantitatively. Among the parameters included are a packing estimate, surface areas, and the contact order. A partial least squares for latent variables (PLS) model was built for each candidate set of the 28 decoy sets of structures generated for 22 different proteins using the described parameters as independent variables. The C(alpha) RMS of the candidate structures versus the experimental structure was used as the dependent variable. The final generalized scoring function was an average of all models derived, ensuring that the function was not optimized for specific fold classes or method of structure generation of the candidate folds. The results show that the crystal structure was scored best in 64% of the 28 test sets and was clearly separated from the decoys in many examples. In all the other cases in which the crystal structure did not rank first, it ranked within the top 10%. Thus, although ProVal could not distinguish between predicted structures that were similar overall in fold quality due to its inherently low resolution, it can clearly be used as a primary filter to eliminate approximately 90% of fold candidates generated by current prediction methods from all-atom modeling and further evaluation. The correlation between the predicted and actual C(alpha) RMS values varies considerably between the candidate fold sets.
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14.
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16.
  • Bredenberg, Johan, et al. (author)
  • Conformational states of the glucocorticoid receptor DNA-binding domain from molecular dynamics simulations
  • 2002
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 49:1, s. 24-36
  • Journal article (peer-reviewed)abstract
    • Molecular dynamics simulations (MD) have been performed on variant crystal and NMR-derived structures of the glucocorticoid receptor DNA-binding domain (GR DBD). A loop region five residues long, the so-called D-box, exhibits significant flexibility, and transient perturbations of the tetrahedral geometry of two structurally important Cys4 zinc finger are seen, coupled to conformational changes in the D-box. In some cases, one of the Cys ligands to zinc exchanges with water, although no global distortion of the protein structure is observed. Thus, from MD simulation, dynamics of the D-box could partly be explained by solvent effects in conjunction with structural reformation of the zinc finger.
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17.
  • Brunne, R M, et al. (author)
  • Structure and internal dynamics of the bovine pancreatic trypsin inhibitor in aqueous solution from long-time molecular dynamics simulations
  • 1995
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 23:1, s. 49-62
  • Journal article (peer-reviewed)abstract
    • Structural and dynamic properties of bovine pancreatic trypsin inhibitor (BPTI) in aqueous solution are investigated using two molecular dynamics (MD) simulations: one of 1.4 ns length and one of 0.8 ns length in which atom-atom distance bounds derived from NMR spectroscopy are included in the potential energy function to make the trajectory satisfy these experimental data more closely. The simulated properties of BPTI are compared with crystal and solution structures of BPTI, and found to be in agreement with the available experimental data. The best agreement with experiment was obtained when atom-atom distance restraints were applied in a time-averaged manner in the simulation. The polypeptide segments found to be most flexible in the MD simulations coincide closely with those showing differences between the crystal and solution structures of BPTI.
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20.
  • Cheng, Jianlin, et al. (author)
  • Estimation of model accuracy in CASP13
  • 2019
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 87:12, s. 1361-1377
  • Journal article (peer-reviewed)abstract
    • Methods to reliably estimate the accuracy of 3D models of proteins are both a fundamental part of most protein folding pipelines and important for reliable identification of the best models when multiple pipelines are used. Here, we describe the progress made from CASP12 to CASP13 in the field of estimation of model accuracy (EMA) as seen from the progress of the most successful methods in CASP13. We show small but clear progress, that is, several methods perform better than the best methods from CASP12 when tested on CASP13 EMA targets. Some progress is driven by applying deep learning and residue‐residue contacts to model accuracy prediction. We show that the best EMA methods select better models than the best servers in CASP13, but that there exists a great potential to improve this further. Also, according to the evaluation criteria based on local similarities, such as lDDT and CAD, it is now clear that single model accuracy methods perform relatively better than consensus‐based methods.
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22.
  • Di Matteo, Adele, et al. (author)
  • Structural and functional characterization of CcmG from Pseudomonas aeruginosa, a key component of the bacterial cytochrome c maturation apparatus
  • 2010
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 78:10, s. 2213-2221
  • Journal article (peer-reviewed)abstract
    • The cytochrome c maturation process is carried out in the bacterial periplasm, where some specialized thiol-disulfide oxidoreductases work in close synergy for the correct reduction of oxidized apocytochrome before covalent heme attachment. We present a structural and functional characterization of the soluble periplasmic domain of CcmG from the opportunistic pathogen P. aeruginosa (Pa-CcmG), a component of the protein machinery involved in cyt c maturation in gram-negative bacteria. X-ray crystallography reveals that Pa-CcmG is a TRX-like protein; high-resolution crystal structures show that the oxidized and the reduced forms of the enzyme are identical except for the active-site disulfide. The standard redox potential was calculated to be E-0' = -0.213 V at pH 7.0; the pK(a) of the active site thiols were pK(a) = 6.13 +/- 0.05 for the N-terminal Cys74 and pK(a) = 10.5 +/- 0.17 for the C-terminal Cys77. Experiments were carried out to characterize and isolate the mixed disulfide complex between Pa-CcmG and Pa-CcmH (the other redox active component of System I in P. aeruginosa). Our data indicate that the target disulfide of this TRX-like protein is not the intramolecular disulfide of oxidized Pa-CcmH, but the intermolecular disulfide formed between Cys28 of Pa-CcmH and DTNB used for the in vitro experiments. This observation suggests that, in vivo, the physiological substrate of Pa-CcmG may be the mixed-disulfide complex between Pa-CcmH and apo-cyt. Proteins 2010; 78:2213-2221. (C) 2010 Wiley-Liss, Inc.
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23.
  • Dourado, Daniel F. A. R., et al. (author)
  • A multiscale approach to predicting affinity changes in protein-protein interfaces
  • 2014
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 82:10, s. 2681-2690
  • Journal article (peer-reviewed)abstract
    • Substitution mutations in protein-protein interfaces can have a substantial effect on binding, which has consequences in basic and applied biomedical research. Experimental expression, purification, and affinity determination of protein complexes is an expensive and time-consuming means of evaluating the effect of mutations, making a fast and accurate in silico method highly desirable. When the structure of the wild-type complex is known, it is possible to economically evaluate the effect of point mutations with knowledge based potentials, which do not model backbone flexibility, but these have been validated only for single mutants. Substitution mutations tend to induce local conformational rearrangements only. Accordingly, ZEMu (Zone Equilibration of Mutants) flexibilizes only a small region around the site of mutation, then computes its dynamics under a physics-based force field. We validate with 1254 experimental mutants (with 1-15 simultaneous substitutions) in a wide variety of different protein environments (65 protein complexes), and obtain a significant improvement in the accuracy of predicted Delta Delta G.
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25.
  • Eklund, M., et al. (author)
  • Anti-idiotypic protein domains selected from protein A-based affibody libraries
  • 2002
  • In: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 48:3, s. 454-462
  • Journal article (peer-reviewed)abstract
    • Three pairs of small protein domains showing binding behavior in analogy with anti-idiotypic antibodies have been selected using phage display technology. From an affibody protein library constructed by combinatorial variegation of the Fe binding surface of the 58 residue staphylococcal protein A (SPA)-derived domain Z, affibody variants have been selected to the parental SPA scaffold and to two earlier identified SPA-derived affibodies. One selected affibody (Z(SPA-1)) was shown to recognize each of the five domains of wild-type SPA with dissociation constants (K.) in the micromolar range. The binding of the Z(SPA-1) affibody to its parental structure was shown to involve the Fc binding site of SPA, while the Fab-binding site was not involved. Similarly, affibodies showing anti-idiotypic binding characteristics were also obtained when affibodies previously selected for binding to Taq DNA polymerase and human IgA, respectively, were used as targets for selections. The potential applications for these types of affinity pairs were exemplified by one-step protein recovery using affinity chromatography employing the specific interactions between the respective protein pair members. These experiments included the purification of the Z(SPA-1) affibody from a total Escherichia coli cell lysate using protein A-Sepharose, suggesting that this protein A/antiprotein A affinity pair could provide a basis for novel affinity gene fusion systems. The use of this type of small, robust, and easily expressed anti-idiotypic affibody pair for affinity technology applications, including self-assembled protein networks, is discussed.
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