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TRAPP: a tool for analysis of transient binding pockets in proteins
Daria B Kokh1, Stefan Richter, Stefan Henrich
1Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany. daria.kokh@h-its.org
Journal of Chemical Information and Modeling
|April 30, 2013
Summary
TRAPP software tracks protein binding pocket changes during motion. This tool analyzes pocket shape and properties to assess protein druggability, considering flexibility for drug discovery.
Area of Science:
- Computational biology
- Structural biology
- Drug discovery
Background:
- Protein flexibility is crucial for function and drug interactions.
- Understanding dynamic binding pockets is key to identifying novel drug targets.
- Existing methods may not fully capture transient pocket variations.
Purpose of the Study:
- Introduce TRAPP (TRAnsient Pockets in Proteins), an automated software platform.
- Enable analysis of protein binding pocket dynamics and conformational changes.
- Facilitate druggability assessment of flexible protein targets.
Main Methods:
- Grid-based calculations of pocket shape and physicochemical properties.
- Analysis of protein motion trajectories and structural ensembles.
- Detection of conserved and transient binding pocket regions.
- Tools for tracing subpocket opening and key residues.
Main Results:
- TRAPP accurately tracks binding pocket variations across protein motions.
- Identifies conserved and transient regions within protein ensembles.
- Visualizes subpocket dynamics and contributing residues.
- Provides insights into the impact of protein flexibility on binding sites.
Conclusions:
- TRAPP offers a comprehensive approach to analyzing dynamic protein binding pockets.
- Enables more accurate druggability assessments by incorporating protein flexibility.
- Supports the identification and design of drugs targeting flexible proteins.
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