Identification and engineering of potent cyclic peptides with selective or promiscuous binding through biochemical profiling and bioinformatic data analysis

Journal article

cyclic peptide ligands can be rapidly generated against a given target using mRNA display. In this study we harness mRNA display technology and the wealth of next generation sequencing (NGS) data generated to explore both experimental approaches and bioinformatic, statistical data analysis of peptide enrichment in cross-screen selections to rapidly generate high affinity CPs with differing intra-family protein selectivity profiles against fibroblast growth factor receptor (FGF-R) family proteins. Using these methods, CPs with distinct selectivity profiles can be generated which can serve as valuable tool compounds to decipher biological questions.

Authors: Smith, TP; Bhushan, B; Granata, D; Kaas, CS; Andersen, B

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Royal Society of Chemistry
• Journal: RSC Chemical Biology
• Volume: 5
• Issue: 1
• Pages: 12-18
• Publication date: 2023-11-14
• DOI: 10.1039/d3cb00168g
• EISSN: 2633-0679
• ISSN: 2633-0679
• Language: English
• Keywords: Biology; Peptide; Identification (biology); Biochemistry; Chemistry; Profiling (computer programming); Computer science; Computational biology; Cyclic peptide