| 1. |
- Hansson, Linnea J., et al.
(author)
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Autoplant—Autonomous Site Preparation and Tree Planting for a Sustainable Bioeconomy
- 2024
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In: Forests. - : MDPI. - 1999-4907. ; 15:2
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Journal article (peer-reviewed)abstract
- Sustainable forestry requires efficient regeneration methods to ensure that new forests are established quickly. In Sweden, 99% of the planting is manual, but finding labor for this arduous work is difficult. An autonomous scarifying and planting machine with high precision, low environmental impact, and a good work environment would meet the needs of the forest industry. For two years, a collaborative group of researchers, manufacturers, and users (forest companies) has worked together on developing and testing a new concept for autonomous forest regeneration (Autoplant). The concept comprises several subsystems, i.e., regeneration and route planning, autonomous driving (path planning), new technology for forest regeneration with minimal environmental impact, automatic plant management, crane motion planning, detection of planting spots, and follow-up. The subsystems were tested separately and integrated together during a field test at a clearcut. The concept shows great potential, especially from an environmental perspective, with significantly reduced soil disturbances, from approximately 50% (the area proportion of the area disturbed by disc trenching) to less than 3%. The Autoplant project highlights the challenges and opportunities related to future development, e.g., the relation between machine cost and operating speed, sensor robustness in response to vibrations and weather, and precision in detecting the size and type of obstacles during autonomous driving and planting.
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| 2. |
- Anandapadmanaban, Madhanagopal, et al.
(author)
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Mutation-Induced Population Shift in the MexR Conformational Ensemble Disengages DNA Binding: A Novel Mechanism for MarR Family Derepression
- 2016
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In: Structure. - : CELL PRESS. - 0969-2126 .- 1878-4186. ; 24:8, s. 1311-1321
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Journal article (peer-reviewed)abstract
- MexR is a repressor of the MexAB-OprM multidrug efflux pump operon of Pseudomonas aeruginosa, where DNA-binding impairing mutations lead to multidrug resistance (MDR). Surprisingly, the crystal structure of an MDR-conferring MexR mutant R21W (2.19 angstrom) presented here is closely similar to wildtype MexR. However, our extended analysis, by molecular dynamics and small-angle X-ray scattering, reveals that the mutation stabilizes a ground state that is deficient of DNA binding and is shared by both mutant and wild-type MexR, whereas the DNA-binding state is only transiently reached by the more flexible wild-type MexR. This population shift in the conformational ensemble is effected by mutation-induced allosteric coupling of contact networks that are independent in the wild-type protein. We propose that the MexR-R21W mutant mimics derepression by small-molecule binding to MarR proteins, and that the described allosteric model based on population shifts may also apply to other MarR family members.
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| 3. |
- Andrésen, Cecilia, et al.
(author)
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Biophysical characterization of the calmodulin-like domain of Plasmodium falciparum calcium dependent protein kinase 3
- 2017
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In: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 12:7
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Journal article (peer-reviewed)abstract
- Calcium dependent protein kinases are unique to plants and certain parasites and comprise an N-terminal segment and a kinase domain that is regulated by a C-terminal calcium binding domain. Since the proteins are not found in man they are potential drug targets. We have characterized the calcium binding lobes of the regulatory domain of calcium dependent protein kinase 3 from the malaria parasite Plasmodium falciparum. Despite being structurally similar, the two lobes differ in several other regards. While the monomeric N-terminal lobe changes its structure in response to calcium binding and shows global dynamics on the sub-millisecond time-scale both in its apo and calcium bound states, the C-terminal lobe could not be prepared calcium-free and forms dimers in solution. If our results can be generalized to the full-length protein, they suggest that the C-terminal lobe is calcium bound even at basal levels and that activation is caused by the structural reorganization associated with binding of a single calcium ion to the N-terminal lobe.
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| 4. |
- Bano-Polo, Manuel, et al.
(author)
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Charge Pair Interactions in Transmembrane Helices and Turn Propensity of the Connecting Sequence Promote Helical Hairpin Insertion
- 2013
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In: Journal of Molecular Biology. - : Elsevier. - 0022-2836 .- 1089-8638. ; 425:4, s. 830-840
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Journal article (peer-reviewed)abstract
- alpha-Helical hairpins, consisting of a pair of closely spaced transmembrane (TM) helices that are connected by a short interfacial turn, are the simplest structural motifs found in multi-spanning membrane proteins. In naturally occurring hairpins, the presence of polar residues is common and predicted to complicate membrane insertion. We postulate that the pre-packing process offsets any energetic cost of allocating polar and charged residues within the hydrophobic environment of biological membranes. Consistent with this idea, we provide here experimental evidence demonstrating that helical hairpin insertion into biological membranes can be driven by electrostatic interactions between closely separated, poorly hydrophobic sequences. Additionally, we observe that the integral hairpin can be stabilized by a short loop heavily populated by turn-promoting residues. We conclude that the combined effect of TM-TM electrostatic interactions and tight turns plays an important role in generating the functional architecture of membrane proteins and propose that helical hairpin motifs can be acquired within the context of the Sec61 translocon at the early stages of membrane protein biosynthesis. Taken together, these data further underline the potential complexities involved in accurately predicting TM domains from primary structures.
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| 5. |
- Basu, Sankar Chandra, et al.
(author)
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DockQ: A Quality Measure for Protein-Protein Docking Models
- 2016
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In: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 11:8, s. e0161879-
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Journal article (peer-reviewed)abstract
- The state-of-the-art to assess the structural quality of docking models is currently based on three related yet independent quality measures: F-nat, LRMS, and iRMS as proposed and standardized by CAPRI. These quality measures quantify different aspects of the quality of a particular docking model and need to be viewed together to reveal the true quality, e.g. a model with relatively poor LRMS (amp;gt; 10 angstrom) might still qualify as acceptable with a descent F-nat (amp;gt; 0.50) and iRMS (amp;lt; 3.0 angstrom). This is also the reason why the so called CAPRI criteria for assessing the quality of docking models is defined by applying various ad-hoc cutoffs on these measures to classify a docking model into the four classes: Incorrect, Acceptable, Medium, or High quality. This classification has been useful in CAPRI, but since models are grouped in only four bins it is also rather limiting, making it difficult to rank models, correlate with scoring functions or use it as target function in machine learning algorithms. Here, we present DockQ, a continuous protein-protein docking model quality measure derived by combining F-nat, LRMS, and iRMS to a single score in the range [0, 1] that can be used to assess the quality of protein docking models. By using DockQ on CAPRI models it is possible to almost completely reproduce the original CAPRI classification into Incorrect, Acceptable, Medium and High quality. An average PPV of 94% at 90% Recall demonstrating that there is no need to apply predefined ad-hoc cutoffs to classify docking models. Since DockQ recapitulates the CAPRI classification almost perfectly, it can be viewed as a higher resolution version of the CAPRI classification, making it possible to estimate model quality in a more quantitative way using Z-scores or sum of top ranked models, which has been so valuable for the CASP community. The possibility to directly correlate a quality measure to a scoring function has been crucial for the development of scoring functions for protein structure prediction, and DockQ should be useful in a similar development in the protein docking field.
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| 6. |
- Basu, Sankar Chandra, et al.
(author)
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Finding correct protein-protein docking models using ProQDock
- 2016
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In: Bioinformatics. - : OXFORD UNIV PRESS. - 1367-4803 .- 1367-4811. ; 32:12, s. 262-270
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Journal article (peer-reviewed)abstract
- Motivation: Protein-protein interactions are a key in virtually all biological processes. For a detailed understanding of the biological processes, the structure of the protein complex is essential. Given the current experimental techniques for structure determination, the vast majority of all protein complexes will never be solved by experimental techniques. In lack of experimental data, computational docking methods can be used to predict the structure of the protein complex. A common strategy is to generate many alternative docking solutions (atomic models) and then use a scoring function to select the best. The success of the computational docking technique is, to a large degree, dependent on the ability of the scoring function to accurately rank and score the many alternative docking models. Results: Here, we present ProQDock, a scoring function that predicts the absolute quality of docking model measured by a novel protein docking quality score (DockQ). ProQDock uses support vector machines trained to predict the quality of protein docking models using features that can be calculated from the docking model itself. By combining different types of features describing both the protein-protein interface and the overall physical chemistry, it was possible to improve the correlation with DockQ from 0.25 for the best individual feature (electrostatic complementarity) to 0.49 for the final version of ProQDock. ProQDock performed better than the state-of-the-art methods ZRANK and ZRANK2 in terms of correlations, ranking and finding correct models on an independent test set. Finally, we also demonstrate that it is possible to combine ProQDock with ZRANK and ZRANK2 to improve performance even further.
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| 7. |
- Basu, Sankar Chandra, et al.
(author)
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Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins
- 2017
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In: Journal of Computer-Aided Molecular Design. - : SPRINGER. - 0920-654X .- 1573-4951. ; 31:5, s. 453-466
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Journal article (peer-reviewed)abstract
- The focus of the computational structural biology community has taken a dramatic shift over the past one-and-a-half decades from the classical protein structure prediction problem to the possible understanding of intrinsically disordered proteins (IDP) or proteins containing regions of disorder (IDPR). The current interest lies in the unraveling of a disorder-to-order transitioning code embedded in the amino acid sequences of IDPs/ IDPRs. Disordered proteins are characterized by an enormous amount of structural plasticity which makes them promiscuous in binding to different partners, multi-functional in cellular activity and atypical in folding energy landscapes resembling partially folded molten globules. Also, their involvement in several deadly human diseases (e.g. cancer, cardiovascular and neurodegenerative diseases) makes them attractive drug targets, and important for a biochemical understanding of the disease(s). The study of the structural ensemble of IDPs is rather difficult, in particular for transient interactions. When bound to a structured partner, an IDPR adapts an ordered conformation in the complex. The residues that undergo this disorder-to-order transition are called protean residues, generally found in short contiguous stretches and the first step in understanding the modus operandi of an IDP/IDPR would be to predict these residues. There are a few available methods which predict these protean segments from their amino acid sequences; however, their performance reported in the literature leaves clear room for improvement. With this background, the current study presents Proteus, a random forest classifier that predicts the likelihood of a residue undergoing a disorder-toorder transition upon binding to a potential partner protein. The prediction is based on features that can be calculated using the amino acid sequence alone. Proteus compares favorably with existing methods predicting twice as many true positives as the second best method (55 vs. 27%) with a much higher precision on an independent data set. The current study also sheds some light on a possible disorderto-order transitioning consensus, untangled, yet embedded in the amino acid sequence of IDPs. Some guidelines have also been suggested for proceeding with a real-life structural modeling involving an IDPR using Proteus.
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| 8. |
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| 9. |
- Bunkoczi, Gabor, et al.
(author)
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Local Error Estimates Dramatically Improve the Utility of Homology Models for Solving Crystal Structures by Molecular Replacement
- 2015
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In: Structure. - : Elsevier (Cell Press). - 0969-2126 .- 1878-4186. ; 23:2, s. 397-406
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Journal article (peer-reviewed)abstract
- Predicted structures submitted for CASP10 have been evaluated as molecular replacement models against the corresponding sets of structure factor amplitudes. It has been found that the log- likelihood gain score computed for each prediction correlates well with common structure quality indicators but is more sensitive when the accuracy of the models is high. In addition, it was observed that using coordinate error estimates submitted by predictors to weight the model can improve its utility in molecular replacement dramatically, and several groups have been identified who reliably provide accurate error estimates that could be used to extend the application of molecular replacement for low-homology cases.
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| 10. |
- Caporaletti, Francesca, 1990-
(author)
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MYC and MexR interactions with DNA : a Small Angle Scattering perspective
- 2022
-
Doctoral thesis (other academic/artistic)abstract
- Protein-DNA complexes govern transcription, that is, the cellular mechanism that converts the information stored in the DNA into proteins. These complexes need to be highly dynamic to respond to external factors that regulate their functions in agreement with what the cells need at that time. Macromolecular X-ray crystallography is very useful for structural studies of large molecular assemblies, but its general application is limited by the difficulties in crystallising highly dynamic and transient complexes. Furthermore, crystal lattices constrain the macromolecular conformation and do not entirely reveal the conformational ensemble adopted by protein-DNA complexes in the solution.Small-Angle X-Ray Scattering (SAXS) and Small-Angle Neutron Scattering (SANS) are two complementary techniques known jointly as Small-angle Scattering (SAS). SAS is a powerful tool for analysing the shape and changes of molecules in solution in their native state. It is beneficial if the variability of conformation or disorder complements high-resolution methods such as NMR or crystallography. With SANS, we can explore non-crystallisable protein-DNA complexes in solution without restrictions of artificially symmetrised DNA and limitations of a protein sequence. Neutrons are well-suited probes for studying protein-DNA complexes for the capability of the neutrons to scatter common atoms in biomolecules differentially and can thereby distinguish between hydrogen and deuterium. Together with varying the solvent deuterium ratio, the contrast variation approach can reveal shapes of distinct components within a macromolecular complex.The goal of this thesis is to explore unchartered territories of regulatory protein-DNA interactions by studying such complexes by SAS, with a specific focus on the flexibility of the complexes. In my study of the MexR-DNA complex, I try to elucidate the molecular mechanism by which the MexR repressor regulates the expression of the MexAB-OPrM efflux pump through DNA binding. This pump is one of the multidrug-resistant tools of the pathogen Pseudomonas Aeruginosa (P. Aer.). It can extrude antibacterial drugs from the bacteria enabling them to survive in hostile environments. In the second project, I strive to explore the MYC:MAX:DNA complex. This heterodimer assembly functions as a central hub in cellular growth control by regulating many biological functions, including proliferation, apoptosis, differentiation and transformation. Overexpression or deregulation of MYC is observed in up to 70% of human aggressive cancer forms, including prostate and breast cancers. By combining SAS with biophysical methods, the work presented in this thesis reveals novel information on the shape and dynamics of biomolecular assemblies critical to health and disease.This thesis comprises five chapters, each dealing with a different aspect of the work in those years. The first chapter introduces the reader to the motivations of this research, and it will give the reader a brief state of the art of the two projects. In the second chapter, I will give you all the theoretical instruments to understand better all the methods used in this thesis, I write first to provide an overview regarding the proteins and their capability to bind other macromolecules. I then will exploit the basics of the small-angle technique, focusing on the neutron contrast variation: the fundamental technique used throughout this thesis and the ab-initio modelling.In the third chapter, Methods, I will discuss the SAS measurements and the requirements for the experiments themselves, the procedure for the data reduction and the data processing and analysis to obtain the structural information.The fourth chapter is a summary of the results of the submitted papers and my contributions:Small-angle X-ray and neutron scattering of MexR and its complex with DNA supports a conformational selection binding modelResolving the DNA interaction of the MexR antibiotic resistance regulatory proteinUpgraded D22 SEC-SANS set-up dedicated to the biology communitySAS studies on the regulation of MYC303:MAX:DNA and MAX:MAX:DNA binding in cancer.
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