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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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Structure-based drug design: docking and scoring.

Romano T Kroemer1

  • 1Computational Sciences, Department of Chemistry, Nerviano Medical Sciences, Viale Pasteur 10, 20014 Nerviano (MI), Italy. romano.kroemer@sanofi-aventis.com

Current Protein & Peptide Science
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Summary

This review introduces ligand-receptor docking, covering basic concepts, methods, and challenges. It highlights successes and recent developments in structure-based virtual screening for drug discovery.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • Ligand-receptor interactions are fundamental to biological processes.
  • Understanding these interactions is crucial for developing new therapeutics.
  • Molecular docking is a key computational technique for studying these interactions.

Purpose of the Study:

  • To provide a comprehensive introduction to ligand-receptor docking.
  • To review various docking approaches and algorithms.
  • To discuss current challenges and future directions in molecular docking.

Main Methods:

  • Overview of different docking algorithms and scoring functions.
  • Discussion of methods for assessing docking program performance.
  • Exploration of structure-based virtual screening strategies.

Main Results:

  • Ligand-receptor docking has achieved significant successes in drug discovery.
  • Several major challenges remain in improving docking accuracy and reliability.
  • Recent developments offer promising solutions to these challenges.

Conclusions:

  • Molecular docking is a powerful tool with ongoing advancements.
  • Addressing current challenges will further enhance its utility in identifying drug candidates.
  • Structure-based virtual screening continues to be successfully applied in pharmaceutical research.