High Resolution Prediction of Calcium-Binding Sites in 3D Protein Structures Using FEATURE.

ABSTRACT: Metal-binding proteins are ubiquitous in biological systems ranging from enzymes to cell surface receptors. Among the various biologically active metal ions, calcium plays a large role in regulating cellular and physiological changes. With the increasing number of high-quality crystal structures of proteins associated with their metal ion ligands, many groups have built models to identify Ca(2+) sites in proteins, utilizing information such as structure, geometry, or homology to do the inference. We present a FEATURE-based approach in building such a model and show that our model is able to discriminate between nonsites and calcium-binding sites with a very high precision of more than 98%. We demonstrate the high specificity of our model by applying it to test sets constructed from other i

SUBMITTER: Zhou W 

PROVIDER: S-EPMC4731830 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature