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pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides.
Tamiola, Kamil; Scheek, Ruud M; van der Meulen, Pieter; Mulder, Frans A A.
Afiliación
  • Tamiola K; Peptone - The Protein Intelligence Company, Amsterdam, The Netherlands.
  • Scheek RM; Department of Molecular Dynamics, GBB, University of Groningen, Groningen, The Netherlands.
  • van der Meulen P; Department of Molecular Dynamics, GBB, University of Groningen, Groningen, The Netherlands.
  • Mulder FAA; Department of Molecular Dynamics, GBB, University of Groningen, Groningen, The Netherlands.
Bioinformatics ; 34(12): 2053-2060, 2018 06 15.
Article en En | MEDLINE | ID: mdl-29365182
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Biología Computacional / Electricidad Estática Tipo de estudio: Clinical_trials / Health_economic_evaluation Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Biología Computacional / Electricidad Estática Tipo de estudio: Clinical_trials / Health_economic_evaluation Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido