PepTherDia: database and structural composition analysis of approved peptide therapeutics and diagnostics
•PepTherDia is a database containing 105 approved peptide pharmaceuticals.•86% of approved peptide therapeutics and diagnostics are natural or naturally-derived.•Bimodal distribution of peptide molar mass, with the large majority <2000g/mol.•Balance between polar and hydrophobic residues within t...
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Published in | Drug discovery today Vol. 26; no. 6; pp. 1409 - 1419 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.06.2021
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Subjects | |
Online Access | Get full text |
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Summary: | •PepTherDia is a database containing 105 approved peptide pharmaceuticals.•86% of approved peptide therapeutics and diagnostics are natural or naturally-derived.•Bimodal distribution of peptide molar mass, with the large majority <2000g/mol.•Balance between polar and hydrophobic residues within the peptide structures.•46% of approved peptides are cyclic with 5 to 7 membered macrocycles being most common.
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.
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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 1359-6446 1878-5832 |
DOI: | 10.1016/j.drudis.2021.02.019 |