A Distributed Data Infrastructure for Open Bioinformatics Research
This paper outlines a distributed data infrastructure designed to enhance open bioinformatics research, particularly in enzyme structure investigation. Utilizing high-throughput computing and cloud resources, such as AWS, the architecture facilitates collaborative workflows while ensuring robust user management, security, data integrity, and scalability. Powered by a Django backend and an Angular frontend, the infrastructure promotes seamless communication and data handling. A case study demonstrates its application in enzyme structure analysis using computational tools like AlphaFold and AlphaFill, revealing improvements in understanding enzymatic functions and accelerating drug discovery. Ultimately, this infrastructure aims to improve the efficiency and accessibility of bioinformatics research.
Authors
- Mingwei Shen (ORCID: https://orcid.org/0000-0002-8494-6607)
- Dali Wang (ORCID: https://orcid.org/0000-0002-9842-2329)
- Eric W. Wang (ORCID: https://orcid.org/0000-0002-1180-5854)
- Weijiao Wang
- Feng Chen
Institutions
- North Carolina State University (US)
- University of Tennessee at Knoxville (US)
Publication Details
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1109/icict64582.2025.00073
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- University of Tennessee, Knoxville
- Office of Science
- Workforce Development for Teachers and Scientists
- Oak Ridge National Laboratory