Comprehensive computational design of ordered peptide macrocycles

Author:

Hosseinzadeh Parisa1ORCID,Bhardwaj Gaurav1ORCID,Mulligan Vikram Khipple1ORCID,Shortridge Matthew D.2ORCID,Craven Timothy W.1,Pardo-Avila Fátima3,Rettie Stephen A.1ORCID,Kim David E.1ORCID,Silva Daniel-Adriano1ORCID,Ibrahim Yehia M.4ORCID,Webb Ian K.4ORCID,Cort John R.4,Adkins Joshua N.4ORCID,Varani Gabriele2,Baker David15ORCID

Affiliation:

1. Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.

2. Department of Chemistry, University of Washington, Seattle, WA 98195, USA.

3. Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.

4. Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.

5. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.

Abstract

Macrocycles by design Macrocyclic peptides have diverse properties, including antibiotic and anticancer activities. This makes them good therapeutic leads, but screening libraries only cover a fraction of the sequence space available to peptides comprising D and L amino acids. Hosseinzadeh et al. achieved near-complete coverage in sampling the sequence space for 7- to 10-residue cyclic peptides and identified more than 200 designs predicted to fold into stable structures. Of 12 structures determined, nine were close to the computational models. They also sampled and designed 11- to 14-residue macrocycles, but without complete coverage. The designed macrocycles provide a path forward for engineering new therapeutics. Science , this issue p. 1461

Funder

National Science Foundation

National Institutes of Health

Howard Hughes Medical Institute

U.S. Department of Energy

PEW Latin American Fellowship

CONACyT postdoctoral fellowship

Washington Research Foundation

Amazon Web Services

American Cancer Society

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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