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Analysis of the influence of simulation parameters on biomolecule-linked water networks.
Jeszenoi, Norbert; Schilli, Gabriella; Bálint, Mónika; Horváth, István; Hetényi, Csaba.
Afiliação
  • Jeszenoi N; MTA NAP-B Molecular Neuroendocrinology Group, Institute of Physiology, Szentágothai Research Center, Center for Neuroscience, Medical School, University of Pécs, Szigeti út 12, 7624, Pécs, Hungary.
  • Schilli G; Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Szigeti út 12, 7624, Pécs, Hungary.
  • Bálint M; Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Szigeti út 12, 7624, Pécs, Hungary; Department of Biochemistry, Eötvös Loránd University, Pázmány Péter sétány 1/C, 1117, Budapest, Hungary.
  • Horváth I; Chemistry Doctoral School, University of Szeged, Dugonics tér 13, 6720, Szeged, Hungary.
  • Hetényi C; Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Szigeti út 12, 7624, Pécs, Hungary. Electronic address: csabahete@yahoo.com.
J Mol Graph Model ; 82: 117-128, 2018 06.
Article em En | MEDLINE | ID: mdl-29729648
ABSTRACT
Advancement of computational molecular dynamics allows rapid calculation of large biomolecular systems in their water surroundings. New approaches of prediction of hydration networks of biomolecular surfaces and complex interfaces are also based on molecular dynamics (MD). Calculations with explicit solvent models can trace thousands of water molecules individually on a real time scale, yielding information on their mobility, and predicting their networking with biomolecular solutes and other water partners. Here, we investigate the effect of key parameters of molecular dynamics simulations on the quality of such predictions. Accordingly, systematic scans on temperature, pressure, force field, explicit water model and thermodynamic ensemble are performed. Explanations of optimal parameter values are provided using structural examples and analyses of the corresponding hydration networks.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água / Biomarcadores / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água / Biomarcadores / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Hungria