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Related Experiment Videos

Predicting "Hot" and "Warm" Spots for Fragment Binding.

Prakash Chandra Rathi1, R Frederick Ludlow1, Richard J Hall1

  • 1Astex Pharmaceuticals , 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom.

Journal of Medicinal Chemistry
|April 5, 2017
PubMed
Summary
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Researchers developed a new validation set and protocol (PLImap) for computational fragment mapping to assess protein binding sites. This advances druggability assessment and structure-based drug design.

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Computational fragment mapping predicts protein binding sites for drug design.
  • Current methods lack standardized performance evaluation.
  • Accurate assessment is crucial for druggability and structure-based design.

Purpose of the Study:

  • Introduce a high-quality validation dataset for computational fragment mapping.
  • Present PLImap, a novel fragment mapping protocol.
  • Evaluate PLImap's performance against existing methods.

Main Methods:

  • Compiled a diverse set of 52 fragment binding "hot" and "warm" spots from the Protein Data Bank (PDB).
  • Developed the PLImap protocol using the Protein-Ligand Informatics force field (PLIff).

Related Experiment Videos

  • Benchmarked PLImap against shape-based algorithms and GOLD fragment docking.

    • Main Results:

    • The new dataset provides a robust benchmark for fragment mapping tools.
    • PLImap demonstrates competitive performance in identifying fragment binding sites.
    • Comparative analysis highlights PLImap's effectiveness.

    Conclusions:

    • The introduced validation set enables reliable assessment of computational fragment mapping methods.
    • PLImap offers a valuable new tool for structure-based drug design.
    • Public availability of the dataset and protocol facilitates further research and development.