Share:
Peer-Reviewed Publication
Bioinformatics2018;34(12):2053-2060.June 15, 2018Journal Article

pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides.

Kamil Tamiola1,2, Ruud M Scheek2, Pieter van der Meulen2, Frans A A Mulder2,3
1Peptone - The Protein Intelligence Company, Amsterdam, The Netherlands.
2Department of Molecular Dynamics, GBB, University of Groningen, Groningen, The Netherlands.
3Department of Chemistry and Interdisciplinary Nanoscience Center iNANO, Aarhus University, Aarhus, Denmark.

Abstract

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 completel…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.