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Protein contact prediction

Hasup Lee, Minkyung Baek, Gyu Rie Lee, Sangwoo Park, Chaok Seok
Many proteins function as homo- or hetero-oligomers; therefore, attempts to understand and regulate protein functions require knowledge of protein oligomer structures. The number of available experimental protein structures is increasing, and oligomer structures can be predicted using the experimental structures of related proteins as templates. However, template-based models may have errors due to sequence differences between the target and template proteins, which can lead to functional differences. Such structural differences may be predicted by loop modeling of local regions or refinement of the overall structure...
October 22, 2016: Proteins
Suman Kumar Nandy, Alpana Seal
Cystatin superfamily is a large group of evolutionarily related proteins involved in numerous physiological activities through their inhibitory activity towards cysteine proteases. Despite sharing the same cystatin fold, and inhibiting cysteine proteases through the same tripartite edge involving highly conserved N-terminal region, L1 and L2 loop; cystatins differ widely in their inhibitory affinity towards C1 family of cysteine proteases and molecular details of these interactions are still elusive. In this study, inhibitory interactions of human family 1 & 2 cystatins with cathepsin L1 are predicted and their stability and viability are verified through protein docking & comparative molecular dynamics...
2016: PloS One
Flavia A Mercurio, Daniela Marasco, Concetta Di Natale, Luciano Pirone, Susan Costantini, Emilia M Pedone, Marilisa Leone
The EphA2 receptor controls diverse physiological and pathological conditions and its levels are often upregulated in cancer. Targeting receptor overexpression, through modulation of endocytosis and consequent degradation, appears to be an appealing strategy for attacking tumor malignancy. In this scenario, the Sam domain of EphA2 plays a pivotal role because it is the site where protein regulators of endocytosis and stability are recruited by means of heterotypic Sam-Sam interactions. Because EphA2-Sam heterotypic complexes are largely based on electrostatic contacts, we have investigated the possibility of attacking these interactions with helical peptides enriched in charged residues...
October 20, 2016: Chembiochem: a European Journal of Chemical Biology
Erik Richter, Manuela Harms, Katharina Ventz, Rolf Nölker, Martin J Fraunholz, Jörg Mostertz, Falko Hochgräfe
Internalization of Staphylococcus aureus by non-professional phagocytic cells is a major suspected cause of persistent and difficult-to-treat infections, including pneumonia. In this study, we established an infection model with 16HBE14o- human bronchial epithelial cells and demonstrated internalization, escape from phagosomal clearance and intracellular replication of S. aureus HG001 within the first four hours post-infection. We used quantitative phosphoproteomics to identify characteristic signaling networks in the host at different infection stages...
October 20, 2016: Journal of Proteome Research
Woon Yong Sohn, Valérie Brenner, Eric Gloaguen, Michel Mons
Conformer-selective IR gas phase spectroscopy and high level quantum chemistry methods have been used to characterise the diversity of local NH-π interactions between the π ring of a phenylalanine aromatic residue and the nearby main chain amide groups. The study of model systems shows how the amide NH stretch vibrational features, in the 3410-3460 cm(-1) frequency range, can be used to monitor the strength of these local π H-bonds, which is found to depend on both the backbone conformation and the aromatic side chain orientation...
October 20, 2016: Physical Chemistry Chemical Physics: PCCP
Y Liu, L Huang, H Ye, X Lv
Interferon regulatory factor-7 (IRF-7) is involved in pulmonary infection and pneumonia. Here, a synthetic strategy that combined quantitative structure-activity relationship (QSAR)-based virtual screening and in vitro binding assay was described to identify new and potent mediator ligands of IRF-7 from natural products. In the procedure, a QSAR scoring function was developed and validated using Gaussian process (GP) regression and a structure-based set of protein-ligand affinity data. By integrating hotspot pocket prediction, pharmacokinetics profile analysis and molecular docking calculations, the scoring function was successfully applied to virtual screening against a large library of structurally diverse, drug-like natural products...
October 20, 2016: SAR and QSAR in Environmental Research
K M Saravanan, S Suvaithenamudhan, S Parthasarathy, S Selvaraj
To adopt a particular fold, a protein requires several interactions between its amino acid residues. The energetic contribution of these residue-residue interactions can be approximated by extracting statistical potentials from known high resolution structures. Several methods based on statistical potentials extracted from unrelated proteins are found to make a better prediction of probability of point mutations. We postulate that the statistical potentials extracted from known structures of similar folds with varying sequence identity can be a powerful tool to examine probability of point mutation...
October 19, 2016: Proteins
Jeffrey Skolnick, Hongyi Zhou
Despite their different implementations, comparison of the best threading approaches to the prediction of evolutionary distant protein structures reveals that they tend to succeed or fail on the same protein targets. This is true despite the fact that the structural template library has good templates for all cases. Thus, a key question is why are certain protein structures threadable while others are not. Comparison with threading results on a set of artificial sequences selected for stability, further argues that the failure of threading is due to the nature of the protein structures themselves...
October 17, 2016: Journal of Physical Chemistry. B
Saghi Sepehri, Lotfollah Saghaie, Afshin Fassihi
The fusion of viral and host cell membranes is mediated using gp41 subunit of the human immunodeficiency virus type 1 (HIV-1) envelope glycoprotein. As the HIV-1 enters the host cells, the two helical regions (HR1 and HR2) in the ectodomain of gp41 form a six-helix bundle, which carries the target and viral cell membranes to close proximity. Steps of this process serve as attractive targets for developing HIV-1 fusion inhibitors. Identification of some novel HIV fusion inhibitors with the goal of blocking the formation of the six-helix bundle was accomplished by computer-aided drug design techniques...
October 12, 2016: Molecular Informatics
Thomas Gueudré, Carlo Baldassi, Marco Zamparo, Martin Weigt, Andrea Pagnani
Understanding protein-protein interactions is central to our understanding of almost all complex biological processes. Computational tools exploiting rapidly growing genomic databases to characterize protein-protein interactions are urgently needed. Such methods should connect multiple scales from evolutionary conserved interactions between families of homologous proteins, over the identification of specifically interacting proteins in the case of multiple paralogs inside a species, down to the prediction of residues being in physical contact across interaction interfaces...
October 11, 2016: Proceedings of the National Academy of Sciences of the United States of America
Aravind Chandrasekaran, Justin Chan, Carmay Lim, Lee-Wei Yang
Structure-encoded conformational dynamics are crucial for biomolecular functions. However, there is insufficient evidence to support the notion that dynamics plays a role in guiding protein-nucleic acid interactions. Here, we show that protein-DNA docking orientation is a function of protein intrinsic dynamics but the binding site itself does not display unique patterns in the examined spectrum of motions. This revelation is made possible by a novel technique that locates 'dynamics interfaces' in proteins across which protein parts are anti-correlated in their slowest dynamics...
October 10, 2016: Journal of Chemical Theory and Computation
Vladimir P Zhdanov, Nam-Joon Cho
Interaction of metal or oxide nanoparticles (NPs) with biological soft matter is one of the central phenomena in basic and applied biology-oriented nanoscience. Often, this interaction includes adsorption of suspended proteins on the NP surface, resulting in the formation of the protein corona around NPs. Structurally, the corona contains a "hard" monolayer shell directly contacting a NP and a more distant weakly associated "soft" shell. Chemically, the corona is typically composed of a mixture of distinct proteins...
October 6, 2016: Mathematical Biosciences
Géraldine Klein, Christelle Mathé, Mathilde Biola-Clier, Stéphanie Devineau, Emilie Drouineau, Elie Hatem, Laurent Marichal, Béatrice Alonso, Jean-Charles Gaillard, Gilles Lagniel, Jean Armengaud, Marie Carrière, Stéphane Chédin, Yves Boulard, Serge Pin, Jean-Philippe Renault, Jean-Christophe Aude, Jean Labarre
Upon contact with biological fluids, nanoparticles (NPs) are readily coated by cellular compounds, particularly proteins, which are determining factors for the localization and toxicity of NPs in the organism. Here, we improved a methodological approach to identify proteins that adsorb on silica NPs with high affinity. Using large-scale proteomics and mixtures of soluble proteins prepared either from yeast cells or from alveolar human cells, we observed that proteins with large unstructured region(s) are more prone to bind on silica NPs...
October 5, 2016: Nanotoxicology
Elisa Biondi, Joshua D Lane, Debasis Das, Saurja Dasgupta, Joseph A Piccirilli, Shuichi Hoshika, Kevin M Bradley, Bryan A Krantz, Steven A Benner
Reported here is a laboratory in vitro evolution (LIVE) experiment based on an artificially expanded genetic information system (AEGIS). This experiment delivers the first example of an AEGIS aptamer that binds to an isolated protein target, the first whose structural contact with its target has been outlined and the first to inhibit biologically important activities of its target, the protective antigen from Bacillus anthracis We show how rational design based on secondary structure predictions can also direct the use of AEGIS to improve the stability and binding of the aptamer to its target...
October 3, 2016: Nucleic Acids Research
Karolis Uziela, Nanjiang Shu, Björn Wallner, Arne Elofsson
Quality assessment of protein models using no other information than the structure of the model itself has been shown to be useful for structure prediction. Here, we introduce two novel methods, ProQRosFA and ProQRosCen, inspired by the state-of-art method ProQ2, but using a completely different description of a protein model. ProQ2 uses contacts and other features calculated from a model, while the new predictors are based on Rosetta energies: ProQRosFA uses the full-atom energy function that takes into account all atoms, while ProQRosCen uses the coarse-grained centroid energy function...
October 4, 2016: Scientific Reports
Dmytro Guzenko, Sergei V Strelkov
MOTIVATION: Modern algorithms for de novo prediction of protein structures typically output multiple full-length models (decoys) rather than a single solution. Subsequent clustering of such decoys is used both to gauge the success of the modelling and to decide on the most native-like conformation. At the same time, partial protein models are sufficient for some applications such as crystallographic phasing by molecular replacement (MR) in particular, provided these models represent a certain part of the target structure with reasonable accuracy...
September 30, 2016: Bioinformatics
Ilham Ayub Shahmuradov, Rozaimi Mohamad Razali, Salim Bougouffa, Aleksandar Radovanovic, Vladimir B Bajic
MOTIVATION: The computational search for promoters in prokaryotes remains an attractive problem in bioinformatics. Despite the attention it has received for many years, the problem has not been addressed satisfactorily. In any bacterial genome, the transcription start site is chosen mostly by the sigma (σ) factor proteins, which control the gene activation. The majority of published bacterial promoter prediction tools target σ(70) promoters in Escherichia coli Moreover, no σ-specific classification of promoters is available for prokaryotes other than for E...
September 30, 2016: Bioinformatics
Enrique Caso, Antonio Maestro, Cristina C Sabiers, Manuel Godino, Zaira Caracuel, Joana Pons, F Jesus Gonzalez, Rocio Bautista, M Gonzalo Claros, Jaime Caso-Onzain, Elena Viejo-Allende, Peter V Giannoudis, Sara Alvarez, Paolo Maietta, Enrique Guerado
Familial predisposition is among the major genetic risk factors for non-contact musculoskeletal tissue injuries. Personal genome sequence shows that different polymorphism profiles may account for the number and the degree of injuries and the recovery time. Genotyping studies allow investigation into genome factors with potential impact on pathogenesis of non-contact ligament injuries. We have studied a family with twin sibling males surgically diagnosed of an anterior cruciate ligament non-contact rupture and non-affected progenitors (father and mother) were subjected to whole exome sequencing (WES) analysis...
September 2016: Injury
Yuriy D Korostelev, Ilya A Zharov, Andrey A Mironov, Alexandra B Rakhmaininova, Mikhail S Gelfand
The large and increasing volume of genomic data analyzed by comparative methods provides information about transcription factors and their binding sites that, in turn, enables statistical analysis of correlations between factors and sites, uncovering mechanisms and evolution of specific protein-DNA recognition. Here we present an online tool, Prot-DNA-Korr, designed to identify and analyze crucial protein-DNA pairs of positions in a family of transcription factors. Correlations are identified by analysis of mutual information between columns of protein and DNA alignments...
2016: PloS One
Saulo Henrique Pires de Oliveira, Jiye Shi, Charlotte M Deane
MOTIVATION: Co-evolution methods have been used as contact predictors to identify pairs of residues that share spatial proximity. Such contact predictors have been compared in terms of the precision of their predictions, but there is no study that compares their usefulness to model generation. RESULTS: We compared eight different co-evolution methods for a set of ~3,500 proteins and found that metaPSICOV stage 2 produces, on average, the most precise predictions...
September 27, 2016: Bioinformatics
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