D'Aloisio, V, Dognini, P, Hutcheon, GA and Coxon, CR (2021) PepTherDia: database and structural composition analysis of approved peptide therapeutics and diagnostics. Drug Discovery Today. ISSN 1359-6446

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Abstract

As of 2020, there were >100 approved peptides with therapeutic or diagnostic applications. However, a complete database providing information on marketed peptides is not freely available, making the peptide chemists' job of designing future peptide drug candidates challenging. Unlike the rules for small-molecule drugs, there is no general set of guidelines for designing a successful peptide-based drug. In this review, together with our freely available database (PepTherDia, http://peptherdia.herokuapp.com), we provide insights into what a successful peptide therapeutic or diagnostic agent looks like and lay the foundation for establishing a set of rules to help future medicinal chemists to design peptide candidates with increased approval rates. TEASER: We describe a freely accessible database of approved peptide therapeutics and diagnostics, providing an overview of key structural and compositional trends to help guide the design of future peptide medicines.

Item Type:	Article
Uncontrolled Keywords:	0601 Biochemistry and Cell Biology, 1115 Pharmacology and Pharmaceutical Sciences
Subjects:	Q Science > QD Chemistry Q Science > QH Natural history > QH301 Biology R Medicine > RM Therapeutics. Pharmacology
Divisions:	Pharmacy & Biomolecular Sciences
Publisher:	Elsevier
Related URLs:	https://www.ncbi.nlm.nih.gov/pubmed/33647438
Date Deposited:	31 Mar 2021 09:12
Last Modified:	26 Feb 2022 00:50
DOI or ID number:	10.1016/j.drudis.2021.02.019
URI:	https://researchonline.ljmu.ac.uk/id/eprint/14585

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