Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering-Reference-Cited by-同舟云学术

Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering

Published:2023-05-23 Issue:6 Volume:18 Page:1425-1434
ISSN:1554-8929
Container-title:ACS Chemical Biology
language:en
Short-container-title:ACS Chem. Biol.

Author:

Lee Man-Ling¹,Farag Sherif¹,Del Cid Joselyn S.²^ORCID,Bashore Charlene³,Hallenbeck Kenneth K.²,Gobbi Alberto¹^ORCID,Cunningham Christian N.²^ORCID

Affiliation:

1. Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States

2. Peptide Therapeutics, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States

3. Biological Chemistry, Genentech Inc. 1 DNA Way, South San Francisco, California 94080, United States

Publisher

American Chemical Society (ACS)

Subject

Molecular Medicine,General Medicine,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acschembio.3c00159

Reference24 articles.

1. Selection-Based Discovery of Druglike Macrocyclic Peptides

2. Macrocyclic Peptides as Drug Candidates: Recent Progress and Remaining Challenges

3. Cyclic Peptides as Drugs for Intracellular Targets: The Next Frontier in Peptide Therapeutic Development

4. Future prospects for noncanonical amino acids in biological therapeutics

5. An amber obligate active site-directed ligand evolution technique for phage display

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