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Structure-based drug design: computational advances

T J Marrone1, J M Briggs, J A McCammon

  • 1Department of Chemistry and Biochemistry, University of California San Diego, La Jolla 92093-0365, USA.

Annual Review of Pharmacology and Toxicology
|January 1, 1997
PubMed
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Structure-based computational methods accelerate drug discovery. This review covers molecular modeling, docking, and other techniques, discussing their strengths and limitations for developing new therapeutics.

Area of Science:

  • Computational chemistry
  • Medicinal chemistry
  • Drug discovery

Background:

  • Structure-based computational methods are crucial for modern drug discovery and development.
  • Advancements in computational power have enabled sophisticated in silico approaches.

Purpose of the Study:

  • To review various structure-based computational methods used in drug discovery.
  • To discuss the applications, strengths, and weaknesses of these techniques.

Main Methods:

  • Molecular visualization and modeling
  • Molecular docking
  • Fragment-based drug design
  • 3D database searching
  • Free-energy perturbation calculations

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Main Results:

  • Detailed description of key computational methods.
  • Discussion on the application of these methods in drug discovery and lead optimization.
  • Analysis of challenges, such as the use of simplified potentials and modeling of water molecules.

Conclusions:

  • Structure-based computational methods offer powerful tools for identifying and refining drug candidates.
  • Understanding the capabilities and limitations of each method is essential for effective application.