ArticleComputational and structural biotechnology journal2024
cPEPmatch Webserver: A comprehensive tool and database to aid rational design of cyclic peptides for drug discovery.
Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2.Briefings in bioinformatics · 2025Article
- MSF-CPMP: A novel multi-source feature fusion model for prediction of cyclic peptide membrane permeability.Computational and structural biotechnology journal · 2025Article
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5 authors.
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Abstract
Cyclic peptides have emerged as versatile scaffolds in drug discovery due to their stability and specificity. Here, we present the cPEPmatch webserver (accessible at https://t38webservices.nat.tum.de/cpepmatch/), an easy-to-use interface for the rational design of cyclic peptides targeting protein-protein interactions combined with a semi-quantitative evaluation of binding stability. This platform also offers access to a comprehensive database of cyclic peptide crystal structures. We demonstrate the webserver's utility through a series of case studies involving medically relevant protein systems, highlighting its potential to significantly advance drug discovery efforts.
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