Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites

Parisa Hosseinzadeh(University of Oregon), P. R. Watson(University of Pennsylvania), Timothy W. Craven(University of Washington), Xinting Li(University of Washington), Stephen Rettie(University of Washington), Fátima Pardo‐Ávila(Stanford University), Asim K. Bera(University of Washington), Vikram Khipple Mulligan(University of Washington), Peilong Lu(University of Washington), Alexander S. Ford(University of Washington), Brian D. Weitzner(University of Washington), Lance Stewart(University of Washington), Adam Moyer(University of Washington), Maddalena Di Piazza(University of Washington), Joshua G. Whalen(University of Washington), Per Greisen(Novo Nordisk (Denmark)), David W. Christianson(University of Pennsylvania), David Baker(University of Washington)
Nature Communications
June 7, 2021
Cited by 94Open Access
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Abstract

Abstract Despite recent success in computational design of structured cyclic peptides, de novo design of cyclic peptides that bind to any protein functional site remains difficult. To address this challenge, we develop a computational “anchor extension” methodology for targeting protein interfaces by extending a peptide chain around a non-canonical amino acid residue anchor. To test our approach using a well characterized model system, we design cyclic peptides that inhibit histone deacetylases 2 and 6 (HDAC2 and HDAC6) with enhanced potency compared to the original anchor (IC 50 values of 9.1 and 4.4 nM for the best binders compared to 5.4 and 0.6 µM for the anchor, respectively). The HDAC6 inhibitor is among the most potent reported so far. These results highlight the potential for de novo design of high-affinity protein-peptide interfaces, as well as the challenges that remain.


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