Open Access

Nucleic Acids Research

, volume 46 , issue W1 , pages W296-W303

SWISS-MODEL: homology modelling of protein structures and complexes

Andrew Waterhouse ^{1, 2}

Martino Bertoni ^{1, 2}

S. Bienert ^{1, 2}

G. Studer ^{1, 2}

Gerardo Tauriello ^{1, 2}

Rafal Gumienny ^{1, 2}

Florian T Heer ^{1, 2}

Tjaart de Beer ^{1, 2}

Christine Rempfer ^{1, 2}

Lorenza Bordoli ^{1, 2}

Rosalba Lepore ^{1, 2}

T. Schwede ^{1, 2}

Hide authors affiliations Show authors affiliations: 2 affiliations

Biozentrum, University of Basel, Klingelbergstrasse 50–70, CH-4056 Basel, Switzerland |

SIB Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Klingelbergstrasse 50–70, CH-4056 Basel, Switzerland

Swiss Institute of Bioinformatics

University of Basel

Publication type: Journal Article

Publication date: 2018-05-21

Oxford University Press

Nucleic Acids Research

scimago Q1

wos Q1

SJR: 7.776

CiteScore: 31.7

Impact factor: 13.1

ISSN: 03051048, 13624962

DOI: 10.1093/nar/gky427

Copy DOI

PubMed ID: 29788355

Genetics

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.

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Waterhouse A. et al. SWISS-MODEL: homology modelling of protein structures and complexes // Nucleic Acids Research. 2018. Vol. 46. No. W1. p. W296-W303.

GOST all authors (up to 50) Copy

Waterhouse A., Bertoni M., Bienert S., Studer G., Tauriello G., Gumienny R., Heer F. T., de Beer T., Rempfer C., Bordoli L., Lepore R., Schwede T. SWISS-MODEL: homology modelling of protein structures and complexes // Nucleic Acids Research. 2018. Vol. 46. No. W1. p. W296-W303.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1093/nar/gky427

UR - https://doi.org/10.1093/nar/gky427

TI - SWISS-MODEL: homology modelling of protein structures and complexes

T2 - Nucleic Acids Research

AU - Waterhouse, Andrew

AU - Bertoni, Martino

AU - Bienert, S.

AU - Studer, G.

AU - Tauriello, Gerardo

AU - Gumienny, Rafal

AU - Heer, Florian T

AU - de Beer, Tjaart

AU - Rempfer, Christine

AU - Bordoli, Lorenza

AU - Lepore, Rosalba

AU - Schwede, T.

PY - 2018

DA - 2018/05/21

PB - Oxford University Press

SP - W296-W303

IS - W1

VL - 46

PMID - 29788355

SN - 0305-1048

SN - 1362-4962

ER -

BibTex |

Cite this

BibTex (up to 50 authors) Copy

@article{2018_Waterhouse,

author = {Andrew Waterhouse and Martino Bertoni and S. Bienert and G. Studer and Gerardo Tauriello and Rafal Gumienny and Florian T Heer and Tjaart de Beer and Christine Rempfer and Lorenza Bordoli and Rosalba Lepore and T. Schwede},

title = {SWISS-MODEL: homology modelling of protein structures and complexes},

journal = {Nucleic Acids Research},

year = {2018},

volume = {46},

publisher = {Oxford University Press},

month = {may},

url = {https://doi.org/10.1093/nar/gky427},

number = {W1},

pages = {W296--W303},

doi = {10.1093/nar/gky427}

}

MLA

Cite this

MLA Copy

Waterhouse, Andrew, et al. “SWISS-MODEL: homology modelling of protein structures and complexes.” Nucleic Acids Research, vol. 46, no. W1, May. 2018, pp. W296-W303. https://doi.org/10.1093/nar/gky427.

Publisher

Oxford University Press

Journal

Nucleic Acids Research

scimago Q1

wos Q1

SJR

7.776

CiteScore

31.7

Impact factor

13.1

ISSN

03051048 (Print)

13624962 (Electronic)