4.3 Article

Automated prediction of ligand-binding sites in proteins

期刊

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
卷 70, 期 4, 页码 1506-1517

出版社

WILEY
DOI: 10.1002/prot.21645

关键词

functional site prediction; structural genomics; rational drug design; AutoDock

资金

  1. NCI NIH HHS [R24-CA095830] Funding Source: Medline
  2. NIGMS NIH HHS [R01-GM069832] Funding Source: Medline

向作者/读者索取更多资源

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.

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