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Related Experiment Videos

Ranking poses in structure-based lead discovery and optimization: current trends in scoring function development.

Ramkumar Rajamani1, Andrew C Good

  • 1Computer-Assisted Drug Design, Bristol-Myers Squibb Co, 5 Research Parkway, Wallingford, CT 06492, USA.

Current Opinion in Drug Discovery & Development
|June 9, 2007
PubMed
Summary
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Predicting ligand-target binding potency before synthesis is crucial for drug discovery. This review covers advancements in scoring functions, essential for accurately assessing molecular interactions and guiding drug design.

Area of Science:

  • Computational Chemistry
  • Medicinal Chemistry
  • Drug Discovery

Background:

  • Accurate prediction of ligand-target binding potency is vital in drug discovery.
  • Current protocols involve molecular docking followed by interaction scoring.
  • Scoring functions are critical for quantifying binding fit quality.

Purpose of the Study:

  • To provide an overview of state-of-the-art developments in scoring function design.
  • To highlight novel descriptors and data handling improvements in scoring functions.
  • To assess the performance of new scoring functions against expected outcomes.

Main Methods:

  • Review of recent literature on scoring function design.
  • Analysis of novel descriptors derived from first principles or empirical methods.

Related Experiment Videos

  • Evaluation of improved data set handling techniques for function redesign.

    • Main Results:

    • Significant advancements in scoring function design are emerging.
    • Novel descriptors and enhanced data handling improve predictive performance.
    • The performance of new scoring functions is being rigorously evaluated.

    Conclusions:

    • Scoring functions are a key component in predicting ligand-target binding.
    • Ongoing research focuses on incorporating advanced descriptors and data handling.
    • Performance evaluation is essential for the successful application of scoring functions in drug discovery.