4.7 Article

Knowledge-Based Scoring Functions in Drug Design: 3. A Two-Dimensional Knowledge-Based Hydrogen-Bonding Potential for the Prediction of Protein-Ligand Interactions

Journal

JOURNAL OF CHEMICAL INFORMATION AND MODELING
Volume 51, Issue 11, Pages 2994-3004

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ci2003939

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Funding

  1. State Key Laboratory of Drug Research
  2. State Key Program of Basic Research of China [2009CB918502]
  3. National Natural Science Foundation of China [81001399, 81072580]

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Hydrogen bonding is a key contributor to the molecular recognition between ligands and their host molecules in biological systems. Here we develop a novel orientation-dependent hydrogen bonding potential based on the geometric characteristics of hydrogen bonds observed in 44,585 protein-ligand complexes. We find a close correspondence between the empirical knowledge and the energy landscape inferred from the distribution of HBs. A scoring function based on the resultant hydrogen-bonding potentials discriminates native protein-ligand structures from incorrectly docked decoys with remarkable predictive power.

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