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Journal of chemical theory and computation, 2018-11, Vol.14 (11), p.5797-5814
2018

Details

Autor(en) / Beteiligte
Titel
Fast Pairwise Approximation of Solvent Accessible Surface Area for Implicit Solvent Simulations of Proteins on CPUs and GPUs
Ist Teil von
  • Journal of chemical theory and computation, 2018-11, Vol.14 (11), p.5797-5814
Ort / Verlag
United States: American Chemical Society
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • We propose a pairwise and readily parallelizable SASA-based nonpolar solvation approach for protein simulations, inspired by our previous pairwise GB polar solvation model development. In this work, we developed a novel function to estimate the atomic and molecular SASAs of proteins, which results in comparable accuracy as the LCPO algorithm in reproducing numerical icosahedral-based SASA values. Implemented in Amber software and tested on consumer GPUs, our pwSASA method reasonably reproduces LCPO simulation results, but accelerates MD simulations up to 30 times compared to the LCPO implementation, which is greatly desirable for protein simulations facing sampling challenges. The value of incorporating the nonpolar term in implicit solvent simulations is explored on a peptide fragment containing the hydrophobic core of HP36 and evaluating thermal stability profiles of four small proteins.
Sprache
Englisch
Identifikatoren
ISSN: 1549-9618
eISSN: 1549-9626
DOI: 10.1021/acs.jctc.8b00413
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6600810

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