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Related Experiment Videos

PARM: a practical utility for drug design.

J Pei1, J Zhou, G Xie

  • 1Laboratory of Computer Chemistry (LCC), Institute of Chemical Metallurgy, Chinese Academy of Sciences, P.O. Box 353, 100080, Beijing, China.

Journal of Molecular Graphics & Modelling
|September 13, 2001
PubMed
Summary
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The Pseudo Atomic Receptor Model (PARM) software enables drug discovery when target 3D structures are unknown. PARM provides statistically reliable and reproducible models for identifying potential therapeutics.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structure-based drug design

Background:

  • 3D receptor structures are often unavailable for drug design.
  • Existing methods may be limited when structural information is absent.

Purpose of the Study:

  • To introduce the Pseudo Atomic Receptor Model (PARM) software package.
  • To demonstrate PARM's utility in drug discovery scenarios lacking target 3D structures.

Main Methods:

  • Development of the PARM software package.
  • Application of PARM to model potential anticancer drugs (elemenes), angiotensin converting enzyme inhibitors, and HIV-1 inhibitors (TTD derivatives).

Main Results:

  • PARM successfully built models with favorable cross-validation statistics (Rcv2 values of 0.7-0.9).

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  • The models provided valuable structure-activity relationship (SAR) insights.
  • PARM demonstrated applicability across diverse systems, irrespective of receptor 3D structure availability.

    • Conclusions:

    • PARM offers a robust and reproducible method for drug discovery when 3D receptor structures are unknown.
    • PARM models exhibit high statistical reliability.
    • The software facilitates SAR analysis and aids in identifying potential drug candidates.