Automated prediction of ligand-binding sites in proteins

被引:133
作者
Harris, Rodney [1 ]
Olson, Arthur J. [1 ]
Goodsell, David S. [1 ]
机构
[1] Scripps Res Inst, Dept Mol Biol, La Jolla, CA 92037 USA
关键词
functional site prediction; structural genomics; rational drug design; AutoDock;
D O I
10.1002/prot.21645
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We present a method, termed AutoLigand, for the prediction of ligand-binding sites in proteins of known structure. The method searches the space surrounding the protein and finds the contiguous envelope with the specified volume of atoms, which has the largest possible interaction energy with the protein. It uses a full atomic representation, with atom types for carbon, hydrogen, oxygen, nitrogen and sulfur (and others, if desired), and is designed to minimize the need for artificial geometry. Testing on a set of 187 diverse protein-ligand complexes has shown that the method is successful in predicting the location and approximate volume of the binding site in 73% of cases. Additional testing was performed on a set of 96 protein-ligand complexes with crystallographic structure's of apo and holo forms, and AutoLigand was able to predict the binding site in 80% of the apo structures.
引用
收藏
页码:1506 / 1517
页数:12
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