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Updated: Jun 21, 2026
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
Computational resources for protein modelling and drug discovery applications
1Randall Division of Cell and Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, London SE1 1UL, UK.
Infectious Disorders Drug Targets
|July 15, 2009
Summary
Structure-based drug design accelerates medication development using computational modeling. This review details resources for protein modeling and in silico ligand docking, aiding researchers in drug discovery.
Area of Science:
- Computational chemistry
- Medicinal chemistry
- Structural biology
Background:
- Drug design is complex, costly, and time-consuming.
- Structure-based drug design leverages target macromolecule structures for rational drug development.
- Existing drugs often target protein-ligand interactions.
Purpose of the Study:
- To review computational resources for structure-based drug design.
- To provide guidance for researchers new to protein modeling and in silico ligand docking.
Main Methods:
- Utilizing known homologous protein structures for computational modeling when experimental structures are unavailable.
- Identifying and analyzing ligand-binding sites on target macromolecules.
- Performing in silico molecular docking to predict ligand-target interactions.
Main Results:
- A curated list of computational resources for structure-based drug design is presented.
- The review equips inexperienced researchers with tools for initial protein modeling and docking exercises.
Conclusions:
- Computer-aided modeling significantly expedites the drug design process.
- Structure-based approaches, including protein modeling and molecular docking, are crucial for efficient drug discovery.
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