The SWISS‐MODEL Repository of annotated three‐dimensional protein structure homology models

The SWISS‐MODEL Repository is a database of annotated three‐dimensional comparative protein structure models generated by the fully automated homology‐modelling pipeline SWISS‐MODEL. The Repository currently contains about 300 000 three‐dimensional models for sequences from the Swiss‐Prot and TrEMBL databases. The content of the Repository is updated on a regular basis incorporating new sequences, taking advantage of new template structures becoming available and reflecting improvements in the underlying modelling algorithms. Each entry consists of one or more three‐dimensional protein models, the superposed template structures, the alignments on which the models are based, a summary of the modelling process and a force field based quality assessment. The SWISS‐MODEL Repository can be queried via an interactive website at http://swissmodel.expasy. org/repository/. Annotation and cross‐linking of the models with other databases, e.g. Swiss‐Prot on the ExPASy server, allow for seamless navigation between protein sequence and structure information. The aim of the SWISS‐MODEL Repository is to provide access to an up‐to‐date collection of annotated three‐dimensional protein models generated by automated homology modelling, bridging the gap between sequence and structure database

The Protein Model Portal

Structural Genomics has been successful in determining the structures of many unique proteins in a high throughput manner. Still, the number of known protein sequences is much larger than the number of experimentally solved protein structures. Homology (or comparative) modeling methods make use of experimental protein structures to build models for evolutionary related proteins. Thereby, experimental structure determination efforts and homology modeling complement each other in the exploration of the protein structure space. One of the challenges in using model information effectively has been to access all models available for a specific protein in heterogeneous formats at different sites using various incompatible accession code systems. Often, structure models for hundreds of proteins can be derived from a given experimentally determined structure, using a variety of established methods. This has been done by all of the PSI centers, and by various independent modeling groups. The goal of the Protein Model Portal (PMP) is to provide a single portal which gives access to the various models that can be leveraged from PSI targets and other experimental protein structures. A single interface allows all existing pre-computed models across these various sites to be queried simultaneously, and provides links to interactive services for template selection, target-template alignment, model building, and quality assessment. The current release of the portal consists of 7.6 million model structures provided by different partner resources (CSMP, JCSG, MCSG, NESG, NYSGXRC, JCMM, ModBase, SWISS-MODEL Repository). The PMP is available at http://www.proteinmodelportal.org and from the PSI Structural Genomics Knowledgebase

Literature search – Exploring in silico protein toxicity prediction methods to support the food and feed risk assessment

This report is the outcome of an EFSA procurement (NP/EFSA/GMO/2018/01) reviewing relevant scientific information on in silico prediction methods for protein toxicity, that could support the food and feed risk assessment. Several proteins are associated with adverse (toxic) effects in humans and animals, by a variety of mechanisms. These are produced by plants, animals and bacteria to prevail in hostile environments. In the present report, we present an integrated pipeline to perform a comprehensive literature and database search applied to proteins with toxic effects. \u201cToxin activity\u201d and \u201ctoxin-antitoxin system\u201d strings were used as inputs for this pipeline. UniProtKB was considered as the reference database, and only the UniProtKB curator-reviewed proteins were considered in the pipeline. Experimentally- determined structures and homology-based in silico 3D models were retrieved from protein structures repositories; family-, domain-, motif- and other molecular signature-related information was also obtained from specific databases which are part of the InterPro consortium. Protein aggregation associated with adverse effects was also investigated using different search strategies. This work can serve as the basis for further exploring novel risk assessment strategies for new proteins using in silico predictive methods

A structural biology community assessment of AlphaFold2 applications

Most proteins fold into 3D structures that determine how they function and orchestrate the biological processes of the cell. Recent developments in computational methods for protein structure predictions have reached the accuracy of experimentally determined models. Although this has been independently verified, the implementation of these methods across structural-biology applications remains to be tested. Here, we evaluate the use of AlphaFold2 (AF2) predictions in the study of characteristic structural elements; the impact of missense variants; function and ligand binding site predictions; modeling of interactions; and modeling of experimental structural data. For 11 proteomes, an average of 25% additional residues can be confidently modeled when compared with homology modeling, identifying structural features rarely seen in the Protein Data Bank. AF2-based predictions of protein disorder and complexes surpass dedicated tools, and AF2 models can be used across diverse applications equally well compared with experimentally determined structures, when the confidence metrics are critically considered. In summary, we find that these advances are likely to have a transformative impact in structural biology and broader life-science research

Functional analysis and structure determination of alkaline protease from Aspergillus flavus

Proteases are one of the highest value commercial enzymes as they have broad applications in food, pharmaceutical, detergent, and dairy industries and serve as vital tools in determination of structure of proteins and polypeptides. Multiple application of these enzymes stimulated interest to discover them with novel properties and considerable advancement of basic research into these enzymes. A broad understanding of the active site of the enzyme and of the mechanism of its inactivation is essential for delineating its structure-function relationship. Primary structure analysis of alkaline protease showed 42% of its content to be alpha helix making it stable for three dimensional structure modeling. Homology model of alkaline protease has been constructed using the X-ray structure (3F7O) as a template and swiss model as the workspace. The model was validated by ProSA, SAVES, PROCHECK, PROSAII and RMSD. The results showed the final refined model is reliable. It has 53% amino acid sequence identity with the template, 0.24 Å as RMSD and has -7.53 as Z-score, the Ramachandran plot analysis showed that conformations for 83.4 % of amino acid residues are within the most favored regions and only 0.4% in the disallowed regions

Molecular modeling and in silico characterization of Mycobacterium tuberculosis TlyA: Possible misannotation of this tubercle bacilli-hemolysin

<p>Abstract</p> <p>Background</p> <p>The TlyA protein has a controversial function as a virulence factor in <it>Mycobacterium tuberculosis </it>(<it>M. tuberculosis</it>). At present, its dual activity as hemolysin and RNA methyltransferase in <it>M. tuberculosis </it>has been indirectly proposed based on <it>in vitro </it>results. There is no evidence however for TlyA relevance in the survival of tubercle bacilli inside host cells or whether both activities are functionally linked. A thorough analysis of structure prediction for this mycobacterial protein in this study shows the need for reevaluating TlyA's function in virulence.</p> <p>Results</p> <p>Bioinformatics analysis of TlyA identified a ribosomal protein binding domain (S4 domain), located between residues 5 and 68 as well as an FtsJ-like methyltranferase domain encompassing residues 62 and 247, all of which have been previously described in translation machinery-associated proteins. Subcellular localization prediction showed that TlyA lacks a signal peptide and its hydrophobicity profile showed no evidence of transmembrane helices. These findings suggested that it may not be attached to the membrane, which is consistent with a cytoplasmic localization. Three-dimensional modeling of TlyA showed a consensus structure, having a common core formed by a six-stranded β-sheet between two α-helix layers, which is consistent with an RNA methyltransferase structure. Phylogenetic analyses showed high conservation of the <it>tlyA </it>gene among <it>Mycobacterium </it>species. Additionally, the nucleotide substitution rates suggested purifying selection during <it>tlyA </it>gene evolution and the absence of a common ancestor between TlyA proteins and bacterial pore-forming proteins.</p> <p>Conclusion</p> <p>Altogether, our manual <it>in silico </it>curation suggested that TlyA is involved in ribosomal biogenesis and that there is a functional annotation error regarding this protein family in several microbial and plant genomes, including the <it>M. tuberculosis </it>genome.</p