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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
The World Wide Web as a graphical user interface to program macros for molecular graphics, molecular modeling, and
1Glaxo Wellcome Research and Development, Medicines Research Centre, Hertfordshire, UK.
Journal of Molecular Graphics
|October 1, 1996
Summary
The World Wide Web (WWW) integrates computational chemistry software and protein data using macros. This automates complex operations for protein structure visualization and drug design, aiding both expert and novice users.
Area of Science:
- Computational chemistry
- Structural biology
- Bioinformatics
Background:
- Accessing computational chemistry software and protein structure data can be complex.
- Sophisticated modeling techniques often require specialized user expertise.
Purpose of the Study:
- To describe a system using the World Wide Web (WWW) and program macros for accessing computational chemistry software and protein structure data.
- To automate the execution of complex operations on protein structures and chemistry software for enhanced usability.
Main Methods:
- Integration of Web technology with program macros to automate software execution.
- Support for multiple molecular visualization packages (GRASP, RASMOL, MOLVIEWER-OGL, INSIGHT95) and a ligand design tool (GRID).
- Inclusion of a database with over 175 in-house protein-ligand complexes.
Main Results:
- Automated execution of computational chemistry software and complex operations on protein structures.
- Simplified access to sophisticated modeling techniques by offering guided options and hiding complex parameters.
- Enabled both expert and non-expert users to perform protein structure visualization, molecular modeling, and rational drug design.
Conclusions:
- The developed Web-based interface effectively streamlines computational chemistry workflows.
- The system empowers users of all skill levels to engage with advanced molecular modeling and drug design tools.
- This approach enhances the accessibility and application of computational tools in structural biology and drug discovery.

