GRAMM-X public web server for protein-protein docking

被引：600

作者：

Tovchigrechko, Andrey

Vakser, Ilya A.

机构：

[1] Univ Kansas, Ctr Bioinformat, Lawrence, KS 66047 USA

[2] Univ Kansas, Dept Mol Biosci, Lawrence, KS 66047 USA

来源：

NUCLEIC ACIDS RESEARCH | 2006年 / 34卷

关键词：

D O I：

10.1093/nar/gkl206

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein docking software GRAMM-X and its web interface (http://vakser.bioinformatics.ku.edu/resources/gramm/grammx) extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software and maintaining large hardware resources needed for protein docking simulations. Docking problems submitted to GRAMM-X server are processed by a 320 processor Linux cluster. The server was extensively tested by benchmarking, several months of public use, and participation in the CAPRI server track.

引用

页码：W310 / W314

页数：5

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