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Related Experiment Video

Updated: Jun 20, 2026

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

Automated docking screens: a feasibility study.

John J Irwin1, Brian K Shoichet, Michael M Mysinger

  • 1Department of Pharmaceutical Chemistry, Byers Hall, Box 2550, University of California San Francisco, San Francisco, California 94158-2330, USA. jji@cgl.ucsf.edu

Journal of Medicinal Chemistry
|September 2, 2009
PubMed
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DOCK Blaster automates molecular docking for large-scale ligand discovery. This expert system reliably screens protein structures, making drug discovery more efficient and accessible.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structural biology

Background:

  • Molecular docking is crucial for ligand discovery but faces scalability challenges.
  • Automating molecular docking requires robust expert systems.

Purpose of the Study:

  • To develop and assess DOCK Blaster, an expert system for fully automated molecular docking.
  • To evaluate the feasibility of large-scale, unsupervised prospective docking.

Main Methods:

  • DOCK Blaster utilizes PDB codes to initiate automated screening of large compound libraries.
  • Self-assessment features estimate screening reliability using pose fidelity and enrichment.
  • Performance was benchmarked against crystal ligand poses and decoy sets.

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

Published on: July 8, 2025

Related Experiment Videos

Last Updated: Jun 20, 2026

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

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

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

Published on: July 8, 2025

Main Results:

  • DOCK Blaster reproduced crystal ligand poses within 2 Å RMSD in 50-60% of cases.
  • Ligands were frequently ranked in the top 5% of decoys, indicating successful virtual screening.
  • A large-scale study of 7755 PDB structures demonstrated the viability of unsupervised prospective docking.

Conclusions:

  • DOCK Blaster offers a viable solution for automated, large-scale molecular docking.
  • The system's self-assessment capabilities enhance the reliability of automated screening results.
  • This automation advances the efficiency and accessibility of structure-based drug discovery.