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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

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Related Experiment Video

Updated: May 14, 2026

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

Systematic and efficient side chain optimization for molecular docking using a cheapest-path procedure.

Marcel Schumann1, Roger S Armen

  • 1Department of Pharmaceutical Sciences, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA. marcel.schumann@jefferson.edu

Journal of Computational Chemistry
|February 20, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel molecular docking approach that efficiently models receptor side chain flexibility. This method significantly improves virtual screening performance compared to rigid receptor docking.

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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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Last Updated: May 14, 2026

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structural biology

Background:

  • Molecular docking is vital for computer-aided drug design.
  • Accurately modeling receptor side chain flexibility is challenging due to computational complexity.
  • Receptor flexibility is crucial for understanding ligand binding and drug efficacy.

Purpose of the Study:

  • To develop a new, computationally efficient molecular docking approach.
  • To effectively incorporate receptor side chain flexibility into docking simulations.
  • To enhance the accuracy of virtual screening for drug discovery.

Main Methods:

  • A novel graph-based optimization algorithm for residue rotamer assignment.
  • Implementation of a flexible receptor docking approach.
  • Validation using the 40 DUD target benchmarks for virtual screening.

Main Results:

  • The new approach demonstrated a significant improvement over rigid receptor docking (ROC AUC 0.693 vs. 0.623).
  • The method shows superior performance compared to many existing docking procedures.
  • Detailed analysis of receptor flexibility across different residue types was provided.

Conclusions:

  • The developed docking approach offers an efficient and accurate method for modeling receptor flexibility.
  • This advancement has the potential to improve drug design and virtual screening pipelines.
  • Further research can build upon this method to explore additional avenues for optimization.