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Molecular docking towards drug discovery

D A Gschwend1, A C Good, I D Kuntz

  • 1Department of Pharmaceutical Chemistry, University of California, San Francisco 94143-0446, USA.

Journal of Molecular Recognition : JMR
|March 1, 1996
PubMed
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Molecular docking strategies offer an efficient alternative to high-throughput screening for drug discovery. This study explores rigid and tolerant docking models to overcome computational limits and improve ligand ranking for better drug design.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Molecular modeling

Background:

  • Advances in molecular structure determination are driving rapid development in structure-based drug design tools.
  • Molecular docking presents a computationally efficient alternative to high-throughput screening for lead discovery.
  • Large ligand databases pose computational challenges for detailed docking analyses.

Purpose of the Study:

  • To present alternative molecular docking philosophies that address computational constraints.
  • To explore docking models ranging from rigid to tolerant, relating them to ligand binding theories.
  • To emphasize and validate strategies for accurately ranking docked ligand complexes.

Main Methods:

  • Investigated alternative molecular docking strategies to manage computational demands.

Related Experiment Videos

  • Examined a spectrum of models from rigid to tolerant, considering molecular recognition dynamics.
  • Focused on validating methods for ranking docked complexes, a key limitation in current docking.
  • Main Results:

    • Developed and validated docking philosophies that effectively manage computational complexity.
    • Demonstrated the utility of a rigid model for exploiting species specificity in drug design.
    • Showcased the potential of a tolerant model for predicting absolute ligand binding affinity.

    Conclusions:

    • Alternative docking philosophies can overcome computational limitations in large-scale ligand screening.
    • Rigid and tolerant models offer distinct advantages for specific aspects of molecular recognition and binding affinity prediction.
    • Improved ranking of docked complexes is crucial for advancing molecular docking in drug discovery.