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CHARMM36m: an improved force field for folded and intrinsically disordered proteins

Nature Methods · 2016 · Vol. 14(1) · pp. 71–73
Jing HuangSarah RauscherGrzegorz NawrockiTing RanMichael FeigBert L. de GrootHelmut GrubmüllerAlexander D. MacKerell
Protein Structure and DynamicsEnzyme Structure and FunctionRNA and protein synthesis mechanismsIntrinsically disordered proteinsForce field (fiction)Molecular dynamicsChemistryBiophysicsComputational biologyComputer scienceBiologyComputational chemistryArtificial intelligence

MeSH terms

HumansHydrogen BondingProtein ConformationProtein FoldingMolecular Dynamics SimulationHydrophobic and Hydrophilic InteractionsIntrinsically Disordered Proteins

Funding

  • Alexander von Humboldt-Stiftung
  • National Institutes of Health
  • Leibniz-Gemeinschaft
  • Leibniz-Rechenzentrum
Citations
7,243
FWCI
98.69
field-weighted impact
References
38
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100%
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References
GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Journal of Chemical Theory and Computation · 2008 · 15,846 citations
Comparison of simple potential functions for simulating liquid water
The Journal of Chemical Physics · 1983 · 41,376 citations
Intrinsically disordered proteins in cellular signalling and regulation
Nature Reviews Molecular Cell Biology · 2014 · 2,444 citations
Structure validation by Cα geometry: ϕ,ψ and Cβ deviation
Proteins Structure Function and Bioinformatics · 2003 · 4,581 citations
CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data
Journal of Computational Chemistry · 2013 · 4,321 citations
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