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Updated: May 13, 2026
08:49
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Docking and scoring: applications to drug discovery in the interactomics era
Solène Grosdidier1, Juan Fernández-Recio
1Barcelona Supercomputing Center, Life Sciences Department, Jordi Girona 29, Barcelona 08034, Spain +34 934137729 ; +34 934137721 ; juanf@bsc.es.
Expert Opinion on Drug Discovery
|March 16, 2013
Summary
Computational drug design can target protein-protein interactions. Protein docking, interface prediction, and hot-spot identification aid in discovering small molecule inhibitors for therapeutic targets.
Area of Science:
- Computational chemistry
- Drug discovery
- Structural biology
Background:
- Computational approaches like docking and scoring are increasingly used in drug discovery.
- Current applications primarily focus on inhibiting individual protein functions.
- Limited data exists on using computational techniques to target protein-protein interactions.
Purpose of the Study:
- To develop a strategic framework for employing computational tools in drug discovery.
- Focuses on targeting protein-protein interactions (PPIs) as therapeutic targets.
Main Methods:
- Reviewing individual computational techniques applied to specific protein-protein interaction cases.
- Deriving a generalizable strategy for targeting PPIs based on case studies.
Main Results:
- Protein docking can predict how proteins interact.
- Interface prediction identifies key regions of interaction.
- Hot-spot identification pinpoints critical residues for inhibitor design.
Conclusions:
- Protein docking, interface prediction, and hot-spot identification are valuable for discovering small molecule inhibitors of therapeutic PPIs.
- These computational methods are particularly useful when limited structural information is available.
- This strategy enhances the potential of computer-aided drug design for challenging PPI targets.
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