Bioinformatics · 2018 · 326 citations · 18 references
Life SciencesBioinformaticsBiologyComputational BiologySequence AnalysisStructural BioinformaticsProtein Sequence AnalysisSequence AlignmentBioinformatic PipelinesCo-evolution AnalysisEvolutionary Coupling AnalysisInteractive AnalysisPipelinesProtein Complexes
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.
18
Protein 3D Structure Computed from Evolutionary Sequence Variation
Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan et al. · PLoS ONE · 2011 · 1.2K citations · Full text
Mutation effects predicted from sequence co-variation
Thomas A. Hopf, John Ingraham, Frank J. Poelwijk et al. · Nature Biotechnology · 2017 · 871 citations · Full text
Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
Magnus Ekeberg, Cecilia Lövkvist, Yueheng Lan et al. · Physical Review E · 2013 · 736 citations · Full text