Literature DB >> 33377305

On the Effect of the Various Assumptions and Approximations used in Molecular Simulations on the Properties of Bio-Molecular Systems: Overview and Perspective on Issues.

Wilfred F van Gunsteren1, Xavier Daura2,3, Patrick F J Fuchs4,5, Niels Hansen6, Bruno A C Horta7, Philippe H Hünenberger1, Alan E Mark8, Maria Pechlaner1, Sereina Riniker1, Chris Oostenbrink9.   

Abstract

Computer simulations of molecular systems enable structure-energy-function relationships of molecular processes to be described at the sub-atomic, atomic, supra-atomic or supra-molecular level and plays an increasingly important role in chemistry, biology and physics. To interpret the results of such simulations appropriately, the degree of uncertainty and potential errors affecting the calculated properties must be considered. Uncertainty and errors arise from (1) assumptions underlying the molecular model, force field and simulation algorithms, (2) approximations implicit in the interatomic interaction function (force field), or when integrating the equations of motion, (3) the chosen values of the parameters that determine the accuracy of the approximations used, and (4) the nature of the system and the property of interest. In this overview, advantages and shortcomings of assumptions and approximations commonly used when simulating bio-molecular systems are considered. What the developers of bio-molecular force fields and simulation software can do to facilitate and broaden research involving bio-molecular simulations is also discussed.
© 2020 Wiley-VCH GmbH.

Keywords:  boundary conditions; force field; long-ranged forces; molecular dynamics simulations; statistical-mechanical sampling

Mesh:

Year:  2020        PMID: 33377305     DOI: 10.1002/cphc.202000968

Source DB:  PubMed          Journal:  Chemphyschem        ISSN: 1439-4235            Impact factor:   3.102


  1 in total

Review 1.  Mutation-Specific Differences in Kv7.1 (KCNQ1) and Kv11.1 (KCNH2) Channel Dysfunction and Long QT Syndrome Phenotypes.

Authors:  Peter M Kekenes-Huskey; Don E Burgess; Bin Sun; Daniel C Bartos; Ezekiel R Rozmus; Corey L Anderson; Craig T January; Lee L Eckhardt; Brian P Delisle
Journal:  Int J Mol Sci       Date:  2022-07-02       Impact factor: 6.208

  1 in total

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