Scale-consistent approach to the derivation of coarse-grained force fields for simulating structure, dynamics, and thermodynamics of biopolymers.
Biopolymers
Coarse graining
Kubo cluster cumulants
Potential of mean force
Scale-consistency
UNICORN model
Journal
Progress in molecular biology and translational science
ISSN: 1878-0814
Titre abrégé: Prog Mol Biol Transl Sci
Pays: Netherlands
ID NLM: 101498165
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
9
3
2020
pubmed:
9
3
2020
medline:
28
1
2021
Statut:
ppublish
Résumé
In this chapter the scale-consistent approach to the derivation of coarse-grained force fields developed in our laboratory is presented, in which the effective energy function originates from the potential of mean force of the system under consideration and embeds atomistically detailed interactions in the resulting energy terms through use of Kubo's cluster-cumulant expansion, appropriate selection of the major degrees of freedom to be averaged out in the derivation of analytical approximations to the energy terms, and appropriate expression of the interaction energies at the all-atom level in these degrees of freedom. Our approach enables the developers to find correct functional forms of the effective coarse-grained energy terms, without having to import them from all-atom force fields or deriving them on a heuristic basis. In particular, the energy terms derived in such a way exhibit correct dependence on coarse-grained geometry, in particular on site orientation. Moreover, analytical formulas for the multibody (correlation) terms, which appear to be crucial for coarse-grained modeling of many of the regular structures such as, e.g., protein α-helices and β-sheets, can be derived in a systematic way. Implementation of the developed theory to the UNIfied COarse-gRaiNed (UNICORN) model of biological macromolecules, which consists of the UNRES (for proteins), NARES-2P (for nucleic acids), and SUGRES-1P (for polysaccharides) components, and is being developed in our laboratory is described. Successful applications of UNICORN to the prediction of protein structure, simulating the folding and stability of proteins and nucleic acids, and solving biological problems are discussed.
Identifiants
pubmed: 32145953
pii: S1877-1173(19)30210-8
doi: 10.1016/bs.pmbts.2019.12.004
pii:
doi:
Substances chimiques
Biopolymers
0
HSP70 Heat-Shock Proteins
0
Macromolecular Substances
0
DNA
9007-49-2
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
73-122Informations de copyright
© 2020 Elsevier Inc. All rights reserved.