Review catalogs 39 peptide databases, 62 computational design tools
The authors argue standardized data frameworks are needed before machine-learning predictions translate into validated peptide drug candidates.
PR
By Priya Raman · Science Reporter
Oct 5 20:00 ETSource: Drug discovery today
The wire
- 01A Drug Discovery Today review surveys 39 therapeutic peptide databases and 62 computational tools covering activity prediction, physicochemical profiling, structural modeling and rational design.
- 02Useful map of the informatics stack for researchers and companies building peptide pipelines, where poor stability and low oral bioavailability remain the central barriers.
- 03It is a review, not new data; the authors flag the gap between computational prediction and experimental validation and call for integrated evaluation platforms.
From the source
Read at pubmed.ncbi.nlm.nih.govTherapeutic peptide informatics in the artificial intelligence era: From curated resources to generative design
Drug discovery today · 2026 Oct 6 · Li X, Chen Y, Chen H et al.
Source URL https://pubmed.ncbi.nlm.nih.gov/42838384/
