2021
DOI: 10.1021/acs.jctc.1c00414
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Effect of the Force Field on Molecular Dynamics Simulations of the Multidrug Efflux Protein P-Glycoprotein

Abstract: Molecular dynamics (MD) simulations have been used extensively to study P-glycoprotein (P-gp), a flexible multidrug transporter that is a key player in the development of multidrug resistance to chemotherapeutics. A substantial body of literature has grown from simulation studies that have employed various simulation conditions and parameters, including AMBER, CHARMM, OPLS, GROMOS, and coarsegrained force fields, drawing conclusions from simulations spanning hundreds of nanoseconds. Each force field is typical… Show more

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Cited by 26 publications
(21 citation statements)
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References 148 publications
(234 reference statements)
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“…The Chemistry at HARvard Macromolecular Mechanics (CHARMM)-36 was used as a governing force field. [35] [36] The position coordinates and velocity vectors of each atom and water molecule were calculated in each 2.0 femtosecond (10 -15 s). The cut-off length of 12 Å was set as the maximum distance allowing direct interactions of atoms as previously published.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…The Chemistry at HARvard Macromolecular Mechanics (CHARMM)-36 was used as a governing force field. [35] [36] The position coordinates and velocity vectors of each atom and water molecule were calculated in each 2.0 femtosecond (10 -15 s). The cut-off length of 12 Å was set as the maximum distance allowing direct interactions of atoms as previously published.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…The approximation and parameterization of atomic-level forces are the main limitations of the different force fields, which may further lead to variations in the ensemble generated by the simulation ( Wang and O'Mara, 2021 ). In the current study, different force field effects have not been investigated on the studied systems, but only a well-known force field for protein and small molecules, i.e., OPLS3e, has been used throughout the study ( Roos et al., 2019 ) ( Dhanjal et al., 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…50,51 The approach applied in this work classifies RNA dynamics into Tier-0 (distinct secondary structure dynamics, > 0.1 s), Tier-1 (base-pair and tertiary dynamics, ms to s), and Tier-2 (thermodynamic jittering of bases and base stacking, ps to µs) which was introduced by Mustoe et al based on the original hierarchical descriptions of functionally important protein dynamics developed by Frauenfelder et al 50,51 Molecular dynamics simulations. Accurate description of structure and dynamics expected for biological function, in terms of hierarchical RNA dynamics tiers, requires computational techniques involving an experimentally relevant starting structure, 41-44 a forcefield attuned to the system, 52,53 and a timescale that can access the functionally important conformational changes. [47][48][49] Overall, three s2m systems were modeled and simulated in this study: SARS-CoV s2m based on 1XJR coordinates, SARS-CoV-2 s2m homology model based on 1XJR coordinates, and SARS-CoV-2 s2m leveraging NMR NOE assignments 38 and knowledge-based RNAComposer 45 coordinates.…”
Section: Methodsmentioning
confidence: 99%