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Publication Abstract from PubMed

Cystine-dense peptides (CDPs) are a miniprotein class that can drug difficult targets with high affinity and low immunogenicity. Tools for their design, however, are not as developed as those for small-molecule and antibody drugs. CDPs have diverse taxonomic origins, but structural characterization is lacking. Here, we adapted Iterative Threading ASSEmbly Refinement (I-TASSER) and Rosetta protein modeling software for structural prediction of 4298 CDP scaffolds and performed in silico prescreening for CDP binders to targets of interest. Mammalian display screening of a library of docking-enriched, methionine and tyrosine scanned (DEMYS) CDPs against PD-L1 yielded binders from four distinct CDP scaffolds. One was affinity-matured, and cocrystallography yielded a high-affinity (K(D) = 202 pM) PD-L1-binding CDP that competes with PD-1 for PD-L1 binding. Its subsequent incorporation into a CD3-binding bispecific T cell engager produced a molecule with pM-range in vitro T cell killing potency and which substantially extends survival in two different xenograft tumor-bearing mouse models. Both in vitro and in vivo, the CDP-incorporating bispecific molecule outperformed a comparator antibody-based molecule. This CDP modeling and DEMYS technique can accelerate CDP therapeutic development.

Ex silico engineering of cystine-dense peptides yielding a potent bispecific T cell engager.,Crook ZR, Girard EJ, Sevilla GP, Brusniak MY, Rupert PB, Friend DJ, Gewe MM, Clarke M, Lin I, Ruff R, Pakiam F, Phi TD, Bandaranayake A, Correnti CE, Mhyre AJ, Nairn NW, Strong RK, Olson JM Sci Transl Med. 2022 May 18;14(645):eabn0402. doi: 10.1126/scitranslmed.abn0402. , Epub 2022 May 18. PMID:35584229^[1]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.