AI model trained on hormone sequences aims to predict peptide drugs
Researchers describe a system that reads peptide hormone sequences across species to identify candidate signaling molecules.
PR
By Priya Raman · Science Reporter
Oct 4 03:39 ETSource: bioengineer.org
The wire
- 01A reported machine-learning approach treats peptide hormone sequences as a language to predict drug candidates that regulate metabolism, growth and homeostasis.
- 02Discovery tools of this kind feed the pipeline of signaling peptides that clinicians may eventually see in trials.
- 03The write-up gives no validation data, hit rates or named candidates; computational predictions still require wet-lab and clinical confirmation.
From the source
Read at bioengineer.orgAI Learns the Language of Hormones to Predict Peptide Drugs
Peptide hormones are among the body’s most powerful chemical messengers. These short chains of amino acids regulate metabolism, growth, development, and the delicate balance of homeostasis in organisms ranging from plants to humans. When their regulation goes awry, the consequences can be serious, which is precisely
