The Computational Revolution in Natural Product Research: A Data-Driven Roadmap for Next-Generation Drug Development
lead optimization and the discovery of cryptic metabolites from previously inaccessible microbial taxa. While challenges in data standardization and scalability persist, the synergy between big data and NP research is accelerating clinical translation. Despite persistent challenges in data standardization, scalability, and equitable benefit-sharing, the convergence of big data and NP research is poised to redefine drug development. These advances position computational NP research as a cornerstone of next-generation drug development.
Authors
- Mia Yang Ang (ORCID: https://orcid.org/0000-0003-2709-6754)
- Siew Woh Choo (ORCID: https://orcid.org/0000-0002-9210-3837)
Institutions
- Wenzhou-Kean University (CN)
- Kean University (US)
- Sunway University (MY)
Publication Details
- Journal
- Biology
- Published
- 2026-04-17
- DOI
- https://doi.org/10.3390/biology15080632
- Primary Topic
- Microbial Natural Products and Biosynthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sunway University