Motivation: Polypeptide sequence length is the single dominant factor hampering the effectiveness of currently available software tools for de novo calculation of amino acid-specific protonation constants in disordered polypeptides.
Results: We have developed pepKalc, a robust simulation software for the comprehensive evaluation of protein electrostatics in unfolded states. Our software completely removes the limitations of the previously reported Monte-Carlo approaches in the computation of protein electrostatics by using a hybrid approach that effectively combines exact and mean-field calculations to rapidly obtain accurate results. Paired with a modern architecture GPU, pepKalc is capable of evaluating protonation behavior for an arbitrary-size polypeptide in a sub-second time regime.
Availability And Implementation: http://protein-nmr.org and https://github.com/PeptoneInc/pepkalc.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/bioinformatics/bty033 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!