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Ligand Binding Sites02:40

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Forging the Basis for Developing Protein-Ligand Interaction Scoring Functions.

Zhihai Liu1, Minyi Su1, Li Han1

  • 1State Key Laboratory of Bioorganic and Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences , 345 Lingling Road, Shanghai 200032, People's Republic of China.

Accounts of Chemical Research
|February 10, 2017
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Summary
This summary is machine-generated.

Researchers developed the PDBbind database and the Comparative Assessment of Scoring Functions (CASF) benchmark to improve protein-ligand interaction scoring functions used in drug design. These resources provide essential data and evaluation methods, overcoming previous limitations in scoring function development.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Scoring functions are crucial for evaluating protein-ligand interactions in drug design, but their development has been hindered by limited and low-quality datasets, as well as ambiguous evaluation metrics.
  • Existing methods often combine scoring with sampling (e.g., molecular docking), making it difficult to assess the true performance of scoring functions independently.

Purpose of the Study:

  • To address the limitations in scoring function development by creating robust data resources and standardized evaluation benchmarks.
  • To facilitate the creation and validation of more accurate and reliable scoring functions for structure-based drug design.

Main Methods:

  • Development of the PDBbind database, systematically annotating protein-ligand complexes from the Protein Data Bank (PDB) with experimental binding data.
  • Establishment of the Comparative Assessment of Scoring Functions (CASF) benchmark, decoupling scoring from sampling for pure performance evaluation.
  • Quantification of scoring function performance using metrics like "scoring power," "ranking power," "docking power," and "screening power" on a curated dataset.

Main Results:

  • The PDBbind database (version 2016) provides binding data for over 16,000 biomolecular complexes, becoming a primary resource for scoring function development.
  • The CASF benchmark, particularly CASF-2013, enables standardized and comparable evaluation of scoring functions, with 20 functions tested to demonstrate its utility.
  • These resources have significantly advanced the field by overcoming obstacles in data availability and evaluation methodologies.

Conclusions:

  • The PDBbind database and CASF benchmark have substantially improved the development and validation of protein-ligand interaction scoring functions.
  • Continued improvement and maintenance of these resources are essential for the ongoing advancement of computational drug design.
  • These tools empower researchers to develop more sophisticated scoring functions, accelerating the discovery of new therapeutics.