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Docking and scoring--theoretically easy, practically impossible?
1Computer-Aided Drug Discovery, Novartis Institute for Biomedical Research, Switzerland.
Structure-based drug design (SBDD) utilizes docking and scoring programs to accelerate drug discovery. This review guides medicinal chemists on interpreting these computational tools, highlighting their strengths and limitations for reliable drug design.
Area of Science:
- Computational Chemistry
- Medicinal Chemistry
- Drug Discovery
Background:
- Structure-based drug design (SBDD) is crucial in modern medicinal chemistry, accelerating drug development and leading to marketed drugs.
- Computational tools, specifically docking and scoring programs, are integral to SBDD, aiding medicinal chemists in ligand-receptor interactions.
Purpose of the Study:
- To review the current state of docking and scoring programs used in SBDD.
- To provide medicinal chemists with a guide on the reliable aspects and potential pitfalls of docking and scoring.
- To discuss the interdependence of docking and scoring processes in drug design.
Main Methods:
- The review divides the discussion into two main parts: docking and scoring.
- Docking involves receptor-ligand preparation, conformational sampling, and stereochemistry considerations.
- Scoring evaluates the generated ligand-receptor poses and their correlation with binding affinity.
Main Results:
- Key findings from evaluation studies on docking and scoring accuracy are reviewed.
- The importance of receptor and ligand preparation, including protonation, tautomerisation, and hydration, is emphasized.
- The degree of conformational sampling and its impact on prediction accuracy are discussed.
Conclusions:
- Medicinal chemists need to understand when and how to interpret docking and scoring results for reliable drug design.
- Current docking and scoring algorithms have limitations that require careful consideration.
- An outline of recent advancements in scoring functions is presented.
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