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Updated: Jun 17, 2026
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Atom-centered interacting fragments and similarity search applications
José Batista1, Lu Tan, Jürgen Bajorath
1In-Silico Center, JADO Technologies GmbH, Tatzberg 47-51, D-01307 Dresden, Germany.
Journal of Chemical Information and Modeling
|December 25, 2009
Summary
Atom-centered interacting fragments (AIFs) capture 3D protein-ligand interactions from crystal structures. This method enhances database searching for active molecules, improving drug discovery efficiency.
Area of Science:
- Structural Biology
- Computational Chemistry
- Drug Discovery
Background:
- Protein-ligand interactions are crucial for drug development.
- Existing methods for analyzing these interactions can be improved for greater efficiency.
Purpose of the Study:
- To introduce a novel method for encoding protein-ligand interaction information.
- To demonstrate the utility of this method in enhancing molecular similarity searches.
Main Methods:
- Extraction and encoding of protein-ligand interaction parts as atom-centered interacting fragments (AIFs).
- Utilizing AIF reference sets for feature count-based ranking of compound databases.
- Application of AIF calculations to enzyme and G protein-coupled receptor targets.
Main Results:
- AIFs implicitly capture essential three-dimensional interaction data.
- The AIF approach improves compound recall in structure-based similarity searches.
- AIF combinations serve as specific markers for different classes of active compounds, enriching search results.
Conclusions:
- Atom-centered interacting fragments (AIFs) provide a powerful new way to represent and utilize protein-ligand interaction data.
- This method significantly enhances the efficiency and effectiveness of similarity searching in drug discovery databases.
- AIFs facilitate the early identification of potential inhibitors and selective antagonists.
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