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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

  1. 01A Drug Discovery Today review surveys 39 therapeutic peptide databases and 62 computational tools covering activity prediction, physicochemical profiling, structural modeling and rational design.
  2. 02Useful map of the informatics stack for researchers and companies building peptide pipelines, where poor stability and low oral bioavailability remain the central barriers.
  3. 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

Therapeutic 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.

Read at pubmed.ncbi.nlm.nih.gov
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