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Updated: Oct 19, 2025

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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
628
Computational strategies for protein conformational ensemble detection.
Ali Rana Atilgan1, Canan Atilgan1
1Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey.
Current Opinion in Structural Biology
|September 26, 2021
Summary
Protein dynamics, not just structure, dictate function and adaptability. Understanding protein conformations and energy landscapes is key for drug discovery and bionano-sensor design.
Area of Science:
- Biophysics
- Structural Biology
- Systems Biology
Background:
- Protein function is intrinsically linked to its three-dimensional structure and dynamic behavior.
- Proteins must balance functional specificity with adaptability to environmental changes and evolvability.
- The energy landscape of proteins influences their conformational states and population shifts, impacting biological systems across scales.
Purpose of the Study:
- To explore the relationship between protein dynamics, structure, and function.
- To investigate how protein energy landscapes affect biological systems.
- To highlight the implications of understanding protein conformations for various applications.
Main Methods:
- Analysis of protein energy landscapes.
- Studying protein conformational dynamics.
- Physics-based modeling of protein behavior.
Main Results:
- Protein dynamics are crucial for function, adaptability, and evolution.
- Changes in protein populations across energy landscapes have cascading effects.
- Understanding protein conformations offers insights into biological processes.
Conclusions:
- The dynamic nature of proteins is as critical as their static structure for function.
- Predicting and manipulating protein conformations has significant implications for medicine and technology.
- Further research into protein dynamics can advance drug discovery and bionano-sensor development.
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