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Updated: Jan 4, 2026
09:51
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
15.9K
The Dundee Resource for Sequence Analysis and Structure Prediction.
Stuart A MacGowan1, Fábio Madeira1, Thiago Britto-Borges1
1Division of Computational Biology, College of Life Sciences, University of Dundee, UK.
Protein Science : a Publication of the Protein Society
|November 12, 2019
Summary
The Dundee Resource for Sequence Analysis and Structure Prediction (DRSASP) offers web services for protein structure and sequence analysis. These tools aid researchers in predicting protein features and analyzing genetic data, with over 1.5 million jobs completed.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- The Barton Group at the University of Dundee provides the Dundee Resource for Sequence Analysis and Structure Prediction (DRSASP).
- DRSASP is a collection of web services and computational resources for biological sequence and structure analysis.
- Existing resources are continuously updated to incorporate new technologies and web standards.
Purpose of the Study:
- To provide accessible web services for protein secondary structure prediction, solvent accessibility, multiple sequence alignment, and disorder prediction.
- To integrate various bioinformatics tools, including JPred4 and JABAWS, into a unified platform.
- To develop new resources for analyzing population genetic data in evolutionary and structural contexts.
Main Methods:
- Utilizes web servers like JPred4 for secondary structure and solvent accessibility prediction.
- Employs JABAWS for multiple sequence alignment, disorder prediction, and conservation analysis.
- Integrates tools via APIs and the Jalview workbench for complex workflow composition.
Main Results:
- DRSASP offers flagship services JPred4 and JABAWS 2.2.
- Resources are accessible via web interfaces, APIs, and the Jalview workbench.
- Over 1.5 million jobs have been processed by DRSASP services since 2016.
Conclusions:
- DRSASP provides substantial computational resources for public use in sequence and structure prediction.
- The platform facilitates the creation of interactive, multitool analysis workflows.
- Ongoing development ensures DRSASP remains a valuable resource for bioinformatics research.
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