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| 001 | 858914 | ||
| 005 | 20210130000133.0 | ||
| 024 | 7 | _ | |a 10.1002/prot.25525 |2 doi |
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| 037 | _ | _ | |a FZJ-2018-07750 |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Petrović, Dušan |0 P:(DE-Juel1)165744 |b 0 |
| 245 | _ | _ | |a How accurately do force fields represent protein side chain ensembles? |
| 260 | _ | _ | |a New York, NY |c 2018 |b Wiley-Liss |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Although the protein backbone is the most fundamental part of the structure, the fine-tuning of side-chain conformations is important for protein function, for example, in protein-protein and protein-ligand interactions, and also in enzyme catalysis. While several benchmarks testing the performance of protein force fields for side chain properties have already been published, they often considered only a few force fields and were not tested against the same experimental observables; hence, they are not directly comparable. In this work, we explore the ability of twelve force fields, which are different flavors of AMBER, CHARMM, OPLS, or GROMOS, to reproduce average rotamer angles and rotamer populations obtained from extensive NMR studies of the 3 J and residual dipolar coupling constants for two small proteins: ubiquitin and GB3. Based on a total of 196 μs sampling time, our results reveal that all force fields identify the correct side chain angles, while the AMBER and CHARMM force fields clearly outperform the OPLS and GROMOS force fields in estimating rotamer populations. The three best force fields for representing the protein side chain dynamics are AMBER 14SB, AMBER 99SB*-ILDN, and CHARMM36. Furthermore, we observe that the side chain ensembles of buried amino acid residues are generally more accurately represented than those of the surface exposed residues. |
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| 700 | 1 | _ | |a Wang, Xue |0 P:(DE-Juel1)170073 |b 1 |u fzj |
| 700 | 1 | _ | |a Strodel, Birgit |0 P:(DE-Juel1)132024 |b 2 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1002/prot.25525 |g Vol. 86, no. 9, p. 935 - 944 |0 PERI:(DE-600)1475032-6 |n 9 |p 935 - 944 |t Proteins |v 86 |y 2018 |x 0887-3585 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/858914/files/Petrovi-_et_al-2018-Proteins__Structure%2C_Function%2C_and_Bioinformatics.pdf |y Restricted |
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