4.6 Article

Scoring functions and their evaluation methods for protein-ligand docking: recent advances and future directions

期刊

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
卷 12, 期 40, 页码 12899-12908

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c0cp00151a

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资金

  1. NIH [R21GM088517]
  2. University of Missouri [RB-07-32]
  3. Research Council [URC 09-004]
  4. NASA
  5. Dell
  6. SGI
  7. Sun Microsystems
  8. TimeLogic
  9. Intel
  10. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R21GM088517] Funding Source: NIH RePORTER

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The scoring function is one of the most important components in structure-based drug design. Despite considerable success, accurate and rapid prediction of protein-ligand interactions is still a challenge in molecular docking. In this perspective, we have reviewed three basic types of scoring functions (force-field, empirical, and knowledge-based) and the consensus scoring technique that are used for protein-ligand docking. The commonly-used assessment criteria and publicly available protein-ligand databases for performance evaluation of the scoring functions have also been presented and discussed. We end with a discussion of the challenges faced by existing scoring functions and possible future directions for developing improved scoring functions.

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