The EVcouplings Python framework for coevolutionary sequence analysis

• DOI: 10.1093/bioinformatics/bty862
• Publication Date: 2018-10-08T20:17:06Z
• Authors: Thomas A Hopf; Anna G Green; Benjamin Schubert; Sophia Mersmann; Charlotta P I Sch...; 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
• Keywords: Python; Sequence (biology)

Coevolutionary sequence analysis has become a commonly used technique for de novo prediction of the structure and function proteins, RNA, protein complexes. We present EVcouplings framework, fully integrated open-source application Python package coevolutionary analysis. The framework enables generation alignments, calculation evaluation evolutionary couplings (ECs), mutation effects. combination an easy to use, flexible command line interface underlying modular makes full power analyses available entry-level advanced users.https://github.com/debbiemarkslab/evcouplings.