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Related Experiment Videos

'Mutational SURF': a strategy for improving lead compounds identified from combinatorial libraries

S M Freier1, D A Konings, J R Wyatt

  • 1ISIS Pharmaceuticals, Carlsbad, CA 92008, USA.

Bioorganic & Medicinal Chemistry
|May 1, 1996
PubMed
Summary
This summary is machine-generated.

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This study introduces a new method, mutational SURF, for identifying and improving active compounds from large combinatorial libraries. It enhances drug discovery by efficiently refining lead compounds identified through mixture screening.

Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Molecular Biology

Background:

  • Combinatorial libraries accelerate drug discovery through high-throughput screening.
  • Screening compound mixtures requires pooling and deconvolution strategies to identify active molecules.
  • Existing deconvolution methods may fail to identify the most active compound or yield suboptimal results.

Purpose of the Study:

  • To develop a theoretical model for library deconvolution using nucleic acid hybridization principles.
  • To evaluate pooling and deconvolution strategies for large-scale compound libraries.
  • To introduce and assess the efficacy of the 'mutational SURF' procedure for lead compound optimization.

Main Methods:

  • Developed a theoretical model based on nucleic acid hybridization for calculating individual molecule activities in large libraries (>250,000 compounds).

Related Experiment Videos

  • Employed the model to simulate and evaluate various pooling and deconvolution strategies.
  • Introduced and simulated the 'mutational SURF' procedure, involving synthesis and testing of compound mutants.

    • Main Results:

    • The theoretical model accurately calculates individual molecular activities within complex mixtures.
    • Simulations revealed that iterative deconvolution and position scanning can yield suboptimal lead compounds in the presence of synthesis or testing errors.
    • Mutational SURF simulations demonstrated its efficiency in improving the activity of identified lead compounds.

    Conclusions:

    • A robust theoretical framework for library deconvolution has been established.
    • Mutational SURF offers an effective strategy for optimizing lead compounds discovered via combinatorial library screening.
    • This approach enhances the identification and refinement of potent drug candidates.