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Pattern recognition methods in rational drug design.

D J Livingstone

    Methods in Enzymology
    |January 1, 1991
    PubMed
    Summary
    This summary is machine-generated.

    Pattern recognition methods aid drug design by analyzing biological and chemical data. Increased understanding and application of these techniques will improve their utility and expand their use in pharmaceutical research.

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    Area of Science:

    • Computational chemistry
    • Cheminformatics
    • Bioinformatics

    Background:

    • Advancements in computational databases and molecular modeling facilitate data collection for drug design.
    • Pattern recognition methods offer significant potential for drug discovery and development.

    Purpose of the Study:

    • To highlight the utility of pattern recognition methods in drug design.
    • To address challenges in interpreting these methods and the risks of chance effects.
    • To encourage wider adoption and understanding of these techniques.

    Main Methods:

    • Application of pattern recognition techniques to analyze biological and physicochemical data.
    • Utilizing computer databases, molecular modeling systems, and property prediction packages.

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    Main Results:

    • Pattern recognition methods can enhance drug design processes.
    • Interpretation difficulties and chance effects are noted challenges.
    • Growing application in pharmaceutical research, including clinical data analysis.

    Conclusions:

    • Wider use and comprehension of pattern recognition methods will increase their value in drug design.
    • These methods are increasingly applied in diverse pharmaceutical research areas.
    • Continuous development of new analytical techniques is ongoing.