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本文引用的文献

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Modeling structurally variable regions in homologous proteins with rosetta.使用Rosetta对同源蛋白中的结构可变区域进行建模。
Proteins. 2004 May 15;55(3):656-77. doi: 10.1002/prot.10629.
2
Computational alanine scanning of protein-protein interfaces.蛋白质-蛋白质界面的计算丙氨酸扫描
Sci STKE. 2004 Feb 3;2004(219):pl2. doi: 10.1126/stke.2192004pl2.
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Rapid protein fold determination using unassigned NMR data.利用未归属的核磁共振数据快速确定蛋白质折叠结构
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Design of a novel globular protein fold with atomic-level accuracy.具有原子水平精度的新型球状蛋白质折叠结构设计。
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Prediction of disordered regions in proteins from position specific score matrices.基于位置特异性得分矩阵预测蛋白质中的无序区域。
Proteins. 2003;53 Suppl 6:573-8. doi: 10.1002/prot.10528.
6
LiveBench-6: large-scale automated evaluation of protein structure prediction servers.LiveBench-6:蛋白质结构预测服务器的大规模自动化评估
Proteins. 2003;53 Suppl 6:542-7. doi: 10.1002/prot.10535.
7
Automated prediction of CASP-5 structures using the Robetta server.使用Robetta服务器自动预测CASP-5结构。
Proteins. 2003;53 Suppl 6:524-33. doi: 10.1002/prot.10529.
8
Rosetta predictions in CASP5: successes, failures, and prospects for complete automation.CASP5中的Rosetta预测:成功、失败及完全自动化的前景。
Proteins. 2003;53 Suppl 6:457-68. doi: 10.1002/prot.10552.
9
Coupled prediction of protein secondary and tertiary structure.蛋白质二级和三级结构的耦合预测
Proc Natl Acad Sci U S A. 2003 Oct 14;100(21):12105-10. doi: 10.1073/pnas.1831973100. Epub 2003 Oct 3.
10
Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.蛋白质-蛋白质对接同时优化刚体位移和侧链构象。
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使用Robetta服务器进行蛋白质结构预测与分析。

Protein structure prediction and analysis using the Robetta server.

作者信息

Kim David E, Chivian Dylan, Baker David

机构信息

Structural Genomics of Pathogenic Protozoa, Department of Biochemistry, University of Washington, Seattle WA 98195, USA.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W526-31. doi: 10.1093/nar/gkh468.

DOI:10.1093/nar/gkh468
PMID:15215442
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC441606/
Abstract

The Robetta server (http://robetta.bakerlab.org) provides automated tools for protein structure prediction and analysis. For structure prediction, sequences submitted to the server are parsed into putative domains and structural models are generated using either comparative modeling or de novo structure prediction methods. If a confident match to a protein of known structure is found using BLAST, PSI-BLAST, FFAS03 or 3D-Jury, it is used as a template for comparative modeling. If no match is found, structure predictions are made using the de novo Rosetta fragment insertion method. Experimental nuclear magnetic resonance (NMR) constraints data can also be submitted with a query sequence for RosettaNMR de novo structure determination. Other current capabilities include the prediction of the effects of mutations on protein-protein interactions using computational interface alanine scanning. The Rosetta protein design and protein-protein docking methodologies will soon be available through the server as well.

摘要

Robetta服务器(http://robetta.bakerlab.org)提供用于蛋白质结构预测和分析的自动化工具。对于结构预测,提交给服务器的序列会被解析为假定结构域,并使用比较建模或从头结构预测方法生成结构模型。如果使用BLAST、PSI-BLAST、FFAS03或3D-Jury找到与已知结构蛋白质的可靠匹配,它将被用作比较建模的模板。如果未找到匹配项,则使用从头Rosetta片段插入方法进行结构预测。实验性核磁共振(NMR)约束数据也可以与查询序列一起提交,用于RosettaNMR从头结构测定。当前的其他功能包括使用计算界面丙氨酸扫描预测突变对蛋白质-蛋白质相互作用的影响。Rosetta蛋白质设计和蛋白质-蛋白质对接方法也将很快通过该服务器提供。