作者
Thomas A Hopf, Anna G Green, Benjamin Schubert, Sophia Mersmann, Charlotta PI Schärfe, John B Ingraham, Agnes Toth-Petroczy, Kelly Brock, Adam J Riesselman, Perry Palmedo, Chan Kang, Robert Sheridan, Eli J Draizen, Christian Dallago, Chris Sander, Debora S Marks
发表日期
2019/5/1
期刊
Bioinformatics
卷号
35
期号
9
页码范围
1582-1584
出版商
Oxford University Press
简介
Summary
Coevolutionary sequence analysis has become a commonly used technique for de novo prediction of the structure and function of proteins, RNA, and protein complexes. We present the EVcouplings framework, a fully integrated open-source application and Python package for coevolutionary analysis. The framework enables generation of sequence alignments, calculation and evaluation of evolutionary couplings (ECs), and de novo prediction of structure and mutation effects. The combination of an easy to use, flexible command line interface and an underlying modular Python package makes the full power of coevolutionary analyses available to entry-level and advanced users.
Availability and implementation
https://github.com/debbiemarkslab/evcouplings
学术搜索中的文章
TA Hopf, AG Green, B Schubert, S Mersmann… - Bioinformatics, 2019