Background: 20 years of improved technology and growing sequences now renders residue-residue contact constraints in large protein families through correlated mutations accurate enough to drive de novo predictions of protein three-dimensional structure. The method EVfold broke new ground using mean-field Direct Coupling Analysis (EVfold-mfDCA); the method PSICOV applied a related concept by estimating a sparse inverse covariance matrix. Both methods (EVfold-mfDCA and PSICOV) are publicly available, but both require too much CPU time for interactive applications. On top, EVfold-mfDCA depends on proprietary software.Results: Here, we present FreeContact, a fast, open source implementation of EVfold-mfDCA and PSICOV. On a test set of 140 proteins, FreeContact was almost eight times faster than PSICOV without decreasing prediction performance. The EVfold-mfDCA implementation of FreeContact was over 220 times faster than PSICOV with negligible performance decrease. EVfold-mfDCA was unavailable for testing due to its dependency on proprietary software. FreeContact is implemented as the free C++ library " libfreecontact" , complete with command line tool " freecontact" , as well as Perl and Python modules. All components are available as Debian packages. FreeContact supports the BioXSD format for interoperability.Conclusions: FreeContact provides the opportunity to compute reliable contact predictions in any environment (desktop or cloud). © 2014 Kaján et al.; licensee BioMed Central Ltd.
CITATION STYLE
Kaján, L., Hopf, T. A., Kalaš, M., Marks, D. S., & Rost, B. (2014). FreeContact: Fast and free software for protein contact prediction from residue co-evolution. BMC Bioinformatics, 15(1). https://doi.org/10.1186/1471-2105-15-85
Mendeley helps you to discover research relevant for your work.