pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides.
basic_science · Level V
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- Record sourced from PubMed, PMID 29365182.
- Also identified by DOI 10.1093/bioinformatics/bty033.
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Abstract
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. 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. http://protein-nmr.org and https://github.com/PeptoneInc/pepkalc.
Medical subject headings
- Computational Biology
- Peptides
- Software
- Static Electricity