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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
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Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target
Leslie Regad1,2, Jean-Baptiste Chéron1,2,3, Dhoha Triki1,2
1Molécules thérapeutiques in silico (MTi), INSERM UMR-S973, Paris, France.
Plos One
|August 18, 2017
Summary
This study introduces SA-conf, a tool to analyze protein flexibility using multiple target conformations (MTCs). SA-conf quantifies structural variability, identifying key regions and sources of flexibility for better understanding protein function.
Area of Science:
- Structural Biology
- Computational Biology
- Biophysics
Background:
- Protein flexibility is crucial for diverse biological functions, including partner binding.
- The Protein Data Bank (PDB) offers a vast resource of macromolecular structures, often with inherent redundancy.
- Analyzing multiple target conformations (MTCs) from various sources is key to exploring protein flexibility.
Purpose of the Study:
- To develop and validate an efficient tool, SA-conf, for analyzing protein structural variability.
- To explore the structural variability of three biological targets using MTC sets.
- To understand the sources and mechanisms of protein flexibility.
Main Methods:
- Development of the SA-conf tool for capturing and analyzing amino acid and local structure variability.
- Application of SA-conf to diverse MTC sets from PDB (NMR, crystallography) and homology models.
- Analysis of MTC sets obtained through dynamics approaches.
Main Results:
- SA-conf effectively quantifies structural variability within MTC sets.
- The tool accurately localizes structurally variable positions and regions within protein targets.
- Analysis revealed flexibility sources including binding partners, mutations, and intrinsic dynamics.
Conclusions:
- SA-conf is an effective tool for quantifying and localizing protein structural variability.
- Mining redundant structural data provides valuable insights into protein flexibility and interaction mechanisms.
- The study highlights the importance of considering MTCs for a comprehensive understanding of protein function.
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