title: Methods for predicting protein-ligand binding sites.
abstract: Ligand binding is required for many proteins to function properly. A large number of bioinformatics tools have been developed to predict ligand binding sites as a first step in understanding a protein's function or to facilitate docking computations in virtual screening based drug design. The prediction usually requires only the three-dimensional structure (experimentally determined or computationally modeled) of the target protein to be searched for ligand binding site(s), and Web servers have been built, allowing the free and simple use of prediction tools. In this chapter, we review the underlying concepts of the methods used by various tools, and discuss their different features and the related issues of ligand binding site prediction. Some cautionary notes about the use of these tools are also provided.
authors.affiliation: Institute of Biomedical Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
authors.forename: Zhong-Ru
authors.initials: ZR
authors.lastname: Xie
authors.forename: Ming-Jing
authors.initials: MJ
authors.lastname: Hwang
mesh_terms: D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D008024:Ligands; D057216:Propensity Score; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*; D012984:Software; D013816:Thermodynamics
chemical_list: D008024:Ligands; D011506:Proteins