Predicting small ligand binding sites in proteins using backbone structure.

ABSTRACT:

Motivation

Specific non-covalent binding of metal ions and ligands, such as nucleotides and cofactors, is essential for the function of many proteins. Computational methods are useful for predicting the location of such binding sites when experimental information is lacking. Methods that use structural information, when available, are particularly promising since they can potentially identify non-contiguous binding motifs that cannot be found using only the amino acid sequence. Furthermore, a prediction method that can utilize low-resolution models is advantageous because high-resolution structures are available for only a relatively small fraction of proteins.

Results

SitePredict is a machine learning-based method for predicting binding sites in protein structures for speci

SUBMITTER: Bordner AJ 

PROVIDER: S-EPMC2639300 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature