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Related Experiment Video

Updated: Jun 6, 2026

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

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

Published on: June 20, 2025

Evaluation of docking calculations on X-ray structures using CONSENSUS-DOCK.

Masako Okamoto¹, Yoshiaki Masuda, Ayumu Muroya

¹Drug Discovery Department, Research & Development Division, PharmaDesign, Inc., Chuo-ku, Tokyo, Japan. okamoto@pharmadesign.co.jp

Chemical & Pharmaceutical Bulletin

|December 9, 2010

Summary

We developed CONSENSUS-DOCK, a customized structure-based virtual screening tool. This enhanced docking program outperforms the standard DOCK4 for identifying active compounds against target proteins.

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

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Published on: June 20, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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Published on: July 8, 2025

Area of Science:

Computational chemistry
Drug discovery
Structural biology

Background:

Structure-based virtual screening (SBVS) is crucial for identifying potential drug candidates.
Accurate prediction of ligand-protein interactions is essential for effective SBVS.
Existing docking programs have limitations in scoring and pose prediction accuracy.

Purpose of the Study:

To evaluate the performance of a customized docking program, CONSENSUS-DOCK, against the standard DOCK4.
To assess the efficacy of incorporating multiple scoring functions and consensus scoring in SBVS.
To validate CONSENSUS-DOCK using X-ray crystal structures from the Protein Data Bank (PDB).

Main Methods:

Development of CONSENSUS-DOCK, a modified version of DOCK4.
Implementation of DOCK4, FlexX, and PMF scoring functions within CONSENSUS-DOCK.
Application of consensus scoring by combining results from multiple scoring functions.
Comparison of docking results from CONSENSUS-DOCK and DOCK4 using PDB X-ray structures.

Main Results:

CONSENSUS-DOCK demonstrated superior performance compared to DOCK4 in docking calculations.
The integration of multiple scoring functions improved the accuracy of identifying active compounds.
Consensus scoring further enhanced the predictive power of the docking program.
CONSENSUS-DOCK achieved better results for major X-ray structures from the PDB.

Conclusions:

CONSENSUS-DOCK represents an improvement over DOCK4 for structure-based virtual screening.
The customized approach with consensus scoring effectively enhances the identification of active compounds.
This method shows significant potential for accelerating drug discovery pipelines.