4.7 Article

The EVcouplings Python framework for coevolutionary sequence analysis

期刊

BIOINFORMATICS
卷 35, 期 9, 页码 1582-1584

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty862

关键词

-

资金

  1. NSF GRFP [DGE1144152]
  2. DOE CSGF fellowship [DE-FG02-97ER25308]
  3. NRNB [P41 GM103504, R01 GM106303]
  4. Pathway Commons [U41 HG006623]
  5. U.S. Department of Energy (DOE) [DE-FG02-97ER25308] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

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

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据