Prediction of water and metal binding sites and their affinities by using the Fold-X force field.

TitlePrediction of water and metal binding sites and their affinities by using the Fold-X force field.
Publication TypeJournal Article
Year of Publication2005
AuthorsSchymkowitz JWH, Rousseau F, Martins IC, Ferkinghoff-Borg J, Stricher F, Serrano L
JournalProc Natl Acad Sci U S A
Date Published2005 Jul 19
KeywordsBiophysics, Chemistry Techniques, Analytical, Metals, Heavy, Models, Molecular, Protein Binding, Protein Folding, Water

The empirical force field Fold-X was developed previously to allow rapid free energy calculations in proteins. Here, we present an enhanced version of the force field allowing prediction of the position of structural water molecules and metal ions, together called single atom ligands. Fold-X picks up 76% of water molecules found to interact with two or more polar atoms of proteins in high-resolution crystal structures and predicts their position to within 0.8 A on average. The prediction of metal ion-binding sites have success rates between 90% and 97% depending on the metal, with an overall standard deviation on the position of binding of 0.3-0.6 A. The following metals were included in the force field: Mg2+, Ca2+, Zn2+, Mn2+, and Cu2+. As a result, the current version of Fold-X can accurately decorate a protein structure with biologically important ions and water molecules. Additionally, the free energy of binding of Ca2+ and Zn2+ (i.e., the natural logarithm of the dissociation constant) and its dependence on ionic strength correlate reasonably well with the experimental data available in the literature, allowing one to discriminate between high- and low-affinity binding sites. Importantly, the accuracy of the energy prediction presented here is sufficient to efficiently discriminate between Mg2+, Ca2+, and Zn2+ binding.

Alternate JournalProc. Natl. Acad. Sci. U.S.A.
PubMed ID16006526