The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling
Open accessAbstract
A novel energy model (VSGB 2.0) for high resolution protein structure modeling is described, which features an optimized implicit solvent model as well as physics‐based corrections for hydrogen bonding, π–π interactions, self‐contact interactions, and hydrophobic interactions. Parameters of the VSGB 2.0 model were fit to a crystallographic database of 2239 single side chain and 100 11–13 residue loop predictions. Combined with an advanced method of sampling and a robust algorithm for protonation state assignment, the VSGB 2.0 model was validated by predicting 115 super long loops up to 20 residues. Despite the dramatically increasing difficulty in reconstructing longer loops, a high accuracy was achieved: all of the lowest energy conformations have global backbone RMSDs better than 2.0 Å from the native conformations. Average global backbone RMSDs of the predictions are 0.51, 0.63, 0.70, 0.62, 0.80, 1.41, and 1.59 Å for 14, 15, 16, 17, 18, 19, and 20 residue loop predictions, respectively. When these results are corrected for possible statistical bias as explained in the text, the average global backbone RMSDs are 0.61, 0.71, 0.86, 0.62, 1.06, 1.67, and 1.59 Å. Given the precision and robustness of the calculations, we believe that the VSGB 2.0 model is suitable to tackle “real” problems, such as biological function modeling and structure‐based drug discovery. Proteins 2011; © 2011 Wiley‐Liss, Inc.
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Cites
Funnels, pathways, and the energy landscape of protein folding: A synthesis
Bryngelson, J. D., Onuchic, J. N., Socci, N. D., & Wolynes, P. G. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340210302 · Cited by 2,648
THEORY OF PROTEIN FOLDING: The Energy Landscape Perspective
Onuchic, J. N., Luthey-Schulten, Z., & Wolynes, P. G. (1997) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.48.1.545 · Cited by 2,210
Current Status of the AMOEBA Polarizable Force Field
Ponder, J. W., Wu, C., Ren, P., Pande, V. S., Chodera, J. D., Schnieders, M. J., Haque, I., Mobley, D. L., Lambrecht, D. S., DiStasio, R. A., et al. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp910674d · Cited by 1,440
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Improved Docking of Polypeptides with Glide
Tubert-Brohman, I., Sherman, W., Repasky, M., & Beuming, T. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400128m · Cited by 1,308
Sun, H., Li, Y., Tian, S., Xu, L., & Hou, T. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp01388c · Cited by 738
Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein–Ligand Binding
Miller, E. B., Murphy, R. B., Sindhikara, D., Borrelli, K. W., Grisewood, M. J., Ranalli, F., Dixon, S. L., Jerome, S., Boyles, N. A., Day, T., et al. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00136 · Cited by 210
Self-citationClark, A. J., Negron, C., Hauser, K., Sun, M., Wang, L., Abel, R., & Friesner, R. A. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.02.003 · Cited by 91
Self-citationModeling the binding of diverse ligands within the Ah receptor ligand binding domain
Giani Tagliabue, S., Faber, S. C., Motta, S., Denison, M. S., & Bonati, L. (2019) · Scientific Reports · doi:10.1038/s41598-019-47138-z · Cited by 106
Metadata
- Authors
- Li, J., Abel, R., Zhu, K., Cao, Y., Zhao, S., & Friesner, R. A.
- Venue
- Proteins: Structure, Function, and Bioinformatics
- Publisher
- Wiley
- Published
- 2011-08-22
- Volume
- 79
- Issue
- 10
- Pages
- 2794-2812
- ISSN
- 0887-3585 (ISSN-L)
- 1097-0134
- OpenAlex
- W2140247386
- Cited by
- 1,159
- References
- 3
- FWCI
- 4.58
- Type
- journal article
- Language
- en
- Open access
- green
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