Literature DB >> 28682472

Validation of Molecular Simulation: An Overview of Issues.

Wilfred F van Gunsteren1, Xavier Daura2,3, Niels Hansen4, Alan E Mark5, Chris Oostenbrink6, Sereina Riniker1, Lorna J Smith7.   

Abstract

Computer simulation of molecular systems enables structure-energy-function relationships of molecular processes to be described at the sub-atomic, atomic, supra-atomic, or supra-molecular level. To interpret results of such simulations appropriately, the quality of the calculated properties must be evaluated. This depends on the way the simulations are performed and on the way they are validated by comparison to values Qexp of experimentally observable quantities Q. One must consider 1) the accuracy of Qexp , 2) the accuracy of the function Q(rN ) used to calculate a Q-value based on a molecular configuration rN of N particles, 3) the sensitivity of the function Q(rN ) to the configuration rN , 4) the relative time scales of the simulation and experiment, 5) the degree to which the calculated and experimental properties are equivalent, and 6) the degree to which the system simulated matches the experimental conditions. Experimental data is limited in scope and generally corresponds to averages over both time and space. A critical analysis of the various factors influencing the apparent degree of (dis)agreement between simulations and experiment is presented and illustrated using examples from the literature. What can be done to enhance the validation of molecular simulation is also discussed.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Monte Carlo simulation; computer chemistry; experimental data; molecular dynamics simulation; pseudo-validation

Year:  2017        PMID: 28682472     DOI: 10.1002/anie.201702945

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  21 in total

1.  Structure-based stabilization of insulin as a therapeutic protein assembly via enhanced aromatic-aromatic interactions.

Authors:  Nischay K Rege; Nalinda P Wickramasinghe; Alisar N Tustan; Nelson F B Phillips; Vivien C Yee; Faramarz Ismail-Beigi; Michael A Weiss
Journal:  J Biol Chem       Date:  2018-06-07       Impact factor: 5.157

2.  Exploring Protocols to Build Reservoirs to Accelerate Temperature Replica Exchange MD Simulations.

Authors:  Koushik Kasavajhala; Kenneth Lam; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2020-11-03       Impact factor: 6.006

3.  Predicting Membrane-Active Peptide Dynamics in Fluidic Lipid Membranes.

Authors:  Charles H Chen; Karen Pepper; Jakob P Ulmschneider; Martin B Ulmschneider; Timothy K Lu
Journal:  Methods Mol Biol       Date:  2022

4.  Refining conformational ensembles of flexible proteins against small-angle x-ray scattering data.

Authors:  Francesco Pesce; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2021-10-08       Impact factor: 4.033

5.  Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.

Authors:  Yi Zhuang; Nikhil Thota; Stephen Quirk; Rigoberto Hernandez
Journal:  J Chem Theory Comput       Date:  2022-07-13       Impact factor: 6.578

6.  Validating Molecular Dynamics Simulations against Experimental Observables in Light of Underlying Conformational Ensembles.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  J Phys Chem B       Date:  2018-06-21       Impact factor: 2.991

7.  Assessment of enzyme active site positioning and tests of catalytic mechanisms through X-ray-derived conformational ensembles.

Authors:  Filip Yabukarski; Justin T Biel; Margaux M Pinney; Tzanko Doukov; Alexander S Powers; James S Fraser; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-21       Impact factor: 12.779

8.  Computational Screening of MOFs for Acetylene Separation.

Authors:  Ayda Nemati Vesali Azar; Seda Keskin
Journal:  Front Chem       Date:  2018-02-27       Impact factor: 5.221

9.  Role of Counterions in Constant-pH Molecular Dynamics Simulations of PAMAM Dendrimers.

Authors:  Pedro B P S Reis; Diogo Vila-Viçosa; Sara R R Campos; António M Baptista; Miguel Machuqueiro
Journal:  ACS Omega       Date:  2018-02-19

10.  Uncertainty Quantification in Alchemical Free Energy Methods.

Authors:  Agastya P Bhati; Shunzhou Wan; Yuan Hu; Brad Sherborne; Peter V Coveney
Journal:  J Chem Theory Comput       Date:  2018-05-02       Impact factor: 6.006

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