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SWISS-MODEL: homology modelling of protein structures and complexes
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4479749
Author(s) Waterhouse, Andrew; Bertoni, Martino; Bienert, Stefan; Studer, Gabriel; Tauriello, Gerardo; Gumienny, Rafal; Heer, Florian T.; de Beer, Tjaart A. P.; Rempfer, Christine; Bordoli, Lorenza; Lepore, Rosalba; Schwede, Torsten
Author(s) at UniBasel Schwede, Torsten
Waterhouse, Andrew
Bertoni, Martino
Bienert, Stefan
Studer, Gabriel
Tauriello, Gerardo
Gumienny, Rafal Wojciech
Heer, Florian
de Beer, Tjaart
Bordoli, Lorenza
Lepore, Rosalba
Year 2018
Title SWISS-MODEL: homology modelling of protein structures and complexes
Journal Nucleic acids research
Volume 46
Number W1
Pages / Article-Number W296-W303
Mesh terms Databases, Protein; Internet; Models, Chemical; Molecular Dynamics Simulation; Protein Conformation; Proteins, genetics; Sequence Homology, Amino Acid; Software; Structural Homology, Protein
Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
Publisher OXFORD UNIV PRESS
ISSN/ISBN 1362-4962
edoc-URL https://edoc.unibas.ch/64205/
Full Text on edoc No
Digital Object Identifier DOI 10.1093/nar/gky427
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/29788355
ISI-Number WOS:000438374100048
Document type (ISI) Journal Article
 
   

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