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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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PacDOCK: A Web Server for Positional Distance-Based and Interaction-Based Analysis of Docking Results.

Jacopo Carbone1,2, Alessia Ghidini1,2, Antonio Romano3

  • 1Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.

Molecules (Basel, Switzerland)
|October 27, 2022
PubMed
Summary

PacDOCK is a free web server that simplifies molecular docking analysis. It offers tools for RMSD calculation, visualization, and clustering to enhance structure-based drug design efficiency.

Keywords:
RMSD calculationatom matchingbinding modeclusteringdocking assessmentmolecular dockingmolecular visualizationprotein–ligand interactionsstructure-based drug designweb server

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Area of Science:

  • Computational Chemistry
  • Structural Biology
  • Drug Design

Background:

  • Molecular docking is crucial for structure-based drug design, predicting ligand-target interactions.
  • Evaluating docking studies is challenging due to the lack of integrated, user-friendly analysis platforms.
  • Existing methods often require specialized software and expertise for comprehensive results assessment.

Purpose of the Study:

  • To develop PacDOCK, a freely available and user-friendly web server for complete molecular docking analysis.
  • To provide tools for positional distance-based and interaction-based analysis of docking results.
  • To enhance the efficiency and accessibility of computer-aided drug design.

Main Methods:

  • Developed PacDOCK, a web server integrating multiple analysis tools.
  • Implemented root mean square deviation (RMSD) calculation for comparing docked poses to reference structures.
  • Incorporated molecular visualization for ligand-binding pocket interactions and cluster analysis for grouping docked poses.

Main Results:

  • PacDOCK offers comprehensive analysis including RMSD calculation (even with random atom labeling), visualization of ligand-target interactions, and clustering of docked poses.
  • The server supports various file formats for docking results.
  • Facilitates detailed examination of conformational and positional differences and key binding interactions.

Conclusions:

  • PacDOCK provides a complete, accessible platform for analyzing molecular docking results.
  • The tool streamlines the evaluation process, improving the efficiency of structure-based drug design.
  • PacDOCK is expected to significantly aid researchers in computer-aided drug design workflows.