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Lead optimization via high-throughput molecular docking.

Diane Joseph-McCarthy¹, J Christian Baber, Eric Feyfant

¹Wyeth Research, Chemical and Screening Sciences, 200 Cambridge Park Drive, Cambridge, MA 02140, USA. DJoseph@wyeth.com

Current Opinion in Drug Discovery & Development

|June 9, 2007

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Structure-based drug discovery utilizes advanced molecular docking to optimize drug leads. This review covers high-throughput methods, accuracy measures, and flexibility incorporation for efficient drug design.

Area of Science:

Computational chemistry and drug discovery.

Background:

Structure-based drug design is crucial for identifying and optimizing drug candidates.
High-throughput molecular docking methods have advanced significantly, aiding the drug discovery process.

Purpose of the Study:

To review recent advances in high-throughput molecular docking for lead optimization.
To discuss docking accuracy, scoring functions, and the incorporation of protein flexibility.
To present new approaches for combinatorial library design and fragment-based optimization.

Main Methods:

Review of recent literature on molecular docking techniques.
Analysis of docking accuracy metrics and scoring function comparisons.
Discussion of protocols for lead optimization versus lead generation, including protein flexibility.

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Main Results:

Successful applications of high-throughput docking in lead optimization are highlighted.
Differences in docking protocols for lead optimization and generation are detailed.
New methods for library design and fragment-based optimization are presented.

Conclusions:

Structure-based lead optimization using advanced docking is a key strategy in modern drug discovery.
Continued technological improvements in docking methods promise further advancements in drug design.