The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling
Top Cited Papers
- 11 July 2011
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 79 (10), 2794-2812
- https://doi.org/10.1002/prot.23106
Abstract
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;Keywords
Funding Information
- NIH (GM-40526)
This publication has 55 references indexed in Scilit:
- Progress in super long loop predictionProteins-Structure Function and Bioinformatics, 2011
- Current Status of the AMOEBA Polarizable Force FieldThe Journal of Physical Chemistry B, 2010
- The AGBNP2 Implicit Solvation ModelJournal of Chemical Theory and Computation, 2009
- Prediction of Protein Loop Conformations Using the AGBNP Implicit Solvent Model and Torsion Angle SamplingJournal of Chemical Theory and Computation, 2008
- Toward better refinement of comparative models: Predicting loops in inexact environmentsProteins-Structure Function and Bioinformatics, 2008
- Assessing implicit models for nonpolar mean solvation forces: The importance of dispersion and volume termsProceedings of the National Academy of Sciences, 2006
- Free energy landscape of protein folding in water: Explicit vs. implicit solventProteins-Structure Function and Bioinformatics, 2003
- Improved protein–ligand docking using GOLDProteins-Structure Function and Bioinformatics, 2003
- SWISS-MODEL: an automated protein homology-modeling serverNucleic Acids Research, 2003
- Comparative Protein Modelling by Satisfaction of Spatial RestraintsJournal of Molecular Biology, 1993