The EVcouplings Python framework for coevolutionary sequence analysis

TA Hopf, AG Green, B Schubert, S Mersmann… - …, 2019 - academic.oup.com
Bioinformatics, 2019academic.oup.com
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 …
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
Oxford University Press