2019
DOI: 10.1039/c9cp03434j
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Extensive tests and evaluation of the CHARMM36IDPSFF force field for intrinsically disordered proteins and folded proteins

Abstract: C36IDPSFF force field performs well in both disordered proteins and folded proteins, and achieves similar accuracy to a99SB-disp in relatively short-time simulations.

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Cited by 41 publications
(36 citation statements)
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“…Accurate conformational sampling of IDPs is a major challenge in the field of molecular simulations where conventional forcefields do not seem to accurately reproduce the properties of IDPs. Several solutions toward fixing the forcefield transferability issues have been suggested and applied extensively to IDPs 28 31 . What stands out in these improvements is the necessity to have a balanced protein–water interactions besides the required changes in the parameters of proteins 32 , 33 .…”
Section: Resultsmentioning
confidence: 99%
“…Accurate conformational sampling of IDPs is a major challenge in the field of molecular simulations where conventional forcefields do not seem to accurately reproduce the properties of IDPs. Several solutions toward fixing the forcefield transferability issues have been suggested and applied extensively to IDPs 28 31 . What stands out in these improvements is the necessity to have a balanced protein–water interactions besides the required changes in the parameters of proteins 32 , 33 .…”
Section: Resultsmentioning
confidence: 99%
“…Thus, general protein force fields tend to overpopulate certain secondary structures or compact, collapsed structures over the extended ones [154]. Experimental structural data have been used to guide the development of novel or updated force fields for both all-atom and coarse-grained simulations, such as FF14IDPSFF [155], FF14IDP [156], FF99IDP [157], A99SB-ILDN [158], CHARMM36 IDPSFF [159], and AWSEM-IDP [160]. Third, the applied solvent model needs to be carefully selected as in IDPs, the solvation effect plays a greater role.…”
Section: Extremely Challenging Targets-intrinsically Disordered Proteinsmentioning
confidence: 99%
“…142 On the other side, Liu et al developed the CHARMM36IDPSFF, which showed an improvement over the CHARMM36 force eld in 18 IDPs, even though some limitations were found in the radius of gyration of large disordered proteins and the stability of fast-folding ones. 143 Lazar et al carried out 24-residue Ser/Arg-rich (SR22-45) MD simulations using CHARMM22* and CHARMM36. The histogram of R g distributions, compared to experimental data, showed a higher than real compactness in the CHARMM36 model, making the CHARMM22* force eld the way to go.…”
Section: Assisted Model Building With Energy Renement (Amber)mentioning
confidence: 99%