SWISS-MODEL: homology modelling of protein structures and complexes.
SWISS-MODEL: homology modelling of protein structures and complexes.
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DOI：
10.1093/nar/gky427
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发表时间：
2018-07-02
影响因子：
14.9
通讯作者：
Schwede T
中科院分区：
文献类型：
--
作者：
Waterhouse A;Bertoni M;Bienert S;Studer G;Tauriello G;Gumienny R;Heer FT;de Beer TAP;Rempfer C;Bordoli L;Lepore R;Schwede T
同源性建模已经发展成为结构生物学中的一项重要技术，显著地有助于缩小已知蛋白质序列和实验确定的结构之间的差距。全自动化的工作流程和服务器简化了同源性建模过程，也允许没有特定计算专业知识的用户生成可靠的蛋白质模型，并轻松访问建模结果，可视化和解释。在这里，我们对SWISS-MODEL服务器进行了更新，该服务器在25年前开创了自动建模领域，并不断得到进一步发展。最近，它的功能已扩展到同聚和异聚复合物的建模。从相互作用的蛋白质的氨基酸序列开始，通过同源性建模来推断复合物的化学计量和整体结构。其他主要改进包括实施新的建模引擎ProMod 3和引入新的本地模型质量估计方法QMEANDisCo。SWISS-MODEL可在https://swissmodel.expasy.org上免费获得。
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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影响因子：
2.9
作者：
Haas J;Barbato A;Behringer D;Studer G;Roth S;Bertoni M;Mostaguir K;Gumienny R;Schwede T
通讯作者：
Schwede T
影响因子：
3.7
作者：
Chaudhury S;Berrondo M;Weitzner BD;Muthu P;Bergman H;Gray JJ
通讯作者：
Gray JJ
DOI：
10.1107/s0907444913007051
发表时间：
2013-05
期刊：
Acta crystallographica. Section D, Biological crystallography
影响因子：
--
作者：
Biasini M;Schmidt T;Bienert S;Mariani V;Studer G;Haas J;Johner N;Schenk AD;Philippsen A;Schwede T
通讯作者：
Schwede T
影响因子：
5.6
作者：
CHOTHIA, C;LESK, AM
通讯作者：
LESK, AM
影响因子：
2.9
作者：
Aliverti, A;Faber, R;Zanetti, G
通讯作者：
Zanetti, G