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Computer-Assisted Drug Virtual Screening Based on the Natural Product Databases.

Baoyu Yang1, Jing Mao1, Bing Gao2

  • 1Department of Biochemistry and Cell Biology, The School of Life Science, Liaoning University, Shenyang 110036, China.

Current Pharmaceutical Biotechnology
|March 29, 2019
PubMed
Summary

Natural product databases significantly enhance computer-assisted drug virtual screening. This review highlights their crucial role in discovering new medicines, especially from plants and microorganisms, for future drug development.

Keywords:
Drug discoverymicroorganism natural productmolecular dockingnatural product databaseplant natural producttraditional chinese medicinevirtual screening.

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Area of Science:

  • Computational chemistry
  • Pharmacology
  • Drug discovery

Background:

  • Computer-assisted drug virtual screening utilizes computer simulations to dock small molecules with protein targets.
  • Natural product databases are a key resource for drug screening, leveraging compounds derived from nature.

Purpose of the Study:

  • To review the contributions of natural product databases to drug discovery via virtual screening.
  • To emphasize the importance of plant, microorganism, and Traditional Chinese medicine databases.

Main Methods:

  • Review of literature on natural product databases in virtual screening.
  • Focus on plant-derived compounds, microbial natural products, and Traditional Chinese Medicine resources.
  • Inclusion of natural product toxicity prediction databases.

Main Results:

  • Natural product databases are vital for identifying potential drug candidates through virtual screening.
  • Specific databases reviewed include those for plant natural products, microorganism natural products, and Traditional Chinese Medicine.
  • Toxicity prediction databases for natural products are also discussed.

Conclusions:

  • Natural product databases have broad applications in various virtual screening fields.
  • These databases are predicted to be increasingly important for next-generation drug discovery.