Yeast Finds Inhibitors

Reflecting work in the Angelini Lab

Published here May 30, 2026

Yeast Display Technology Enables Rapid Discovery of Low-Nanomolar Macrocyclic Peptide Inhibitors of Human Angiotensin-Converting Enzyme 2

Zhanna Romanyuk, Giacomo Bettin, Paul Brear, Sara Linciano, Ylenia Mazzocato, Simone Bonadies, Ilaria Zanotto, Camilla Mazzucco, Alan Monferone, Miguel A. Soler, Gianfranco Pasut, Sara De Martin, Alessandro Scarso, Christian Heinis, Sylvia Rothenberger, Marko Hyvönen, and Alessandro Angelini

J. Med. Chem. 2026, 69, 7689–7708. https://doi.org/10.1021/acs.jmedchem.5c02876

View Original Publication


Human angiotensin-converting enzyme 2, hACE2, sits at the intersection of several medically important pathways. As a monocarboxypeptidase anchored to cell surfaces in the lung, kidney, and gut, it regulates blood pressure by converting the vasoconstrictor angiotensin II into the vasodilator angiotensin 1–7, processes bioactive peptides including apelin and des-Arg9-bradykinin, and serves as the entry receptor exploited by SARS-CoV-2. Altered hACE2 expression has been linked to cardiovascular disease, diabetes, obesity, and inflammatory bowel disease, making selective inhibition an attractive therapeutic strategy. Phage and mRNA display have already delivered potent cyclic peptide inhibitors of hACE2, including the bicyclic BCY15291 with a Ki of 0.9 nM and mRNA-derived peptide20 with a Ki of 370 nM, yet both platforms rely on iterative, difficult-to-monitor selection procedures that require downstream chemical synthesis before a binding affinity can be measured.

Researchers in the Angelini Lab at Ca' Foscari University of Venice, published in J. Med. Chem., deployed a yeast display platform they previously validated on five non-therapeutic targets to attack this clinically relevant enzyme. Five naïve libraries encoding disulfide-cyclized macrocyclic peptides, MPs, in both "one-ring" CXmC topologies (m = 7 or 9) and "two-ring" CXmCXnC topologies (m + n = 12) were pooled and screened against biotinylated recombinant hACE2. Two rounds of magnetic bead separation, preceded by negative selection against streptavidin-coated beads, enriched binders before four rounds of fluorescence-activated cell sorting refined the population further. Critically, the platform allows binding affinities to be read directly from yeast cell surfaces without synthesizing the peptides first, and the authors alternated neutravidin and streptavidin detection reagents across FACS rounds to prevent enrichment of reagent-binding artifacts. Sanger and next-generation sequencing after the fourth sort identified three consensus families.

Sequencing revealed three families, GR1, GR2, and GR3, with GR1 comprising roughly 83% of selected clones. The GR1 family encodes 9-amino acid "one-ring" peptides sharing a conserved I/LGF/YN turn motif, notably lacking proline residues that characterize natural hACE2 substrates. Yeast surface titrations placed apparent KD values for GR1.1 and GR1.4 at 26.1 and 16.1 nM, respectively, and for the "two-ring" GR3.1 at 41.3 nM. All three ligands showed no detectable binding to eight unrelated proteins at 1 μM. Competition assays confirmed binding at the hACE2 catalytic pocket rather than at the receptor-binding domain site used by the SARS-CoV-2 spike protein. After chemical synthesis via Fmoc SPPS and orthogonal disulfide cyclization, enzyme inhibition assays delivered Ki values of 2.4 nM for GR1.1, 1.9 nM for GR1.4, and 1.5 nM for GR3.1.2, the correct disulfide isomer of the "two-ring" series. All three peptides showed no inhibition of the structurally related hACE1 at concentrations up to 100 μM. Human plasma half-lives measured at 37 °C by LC-MS reached 5.4 h for GR1.1, 6.5 h for GR1.4, and 8.6 h for GR3.1.2, compared to 24 min for a linearized serine-substituted analogue of GR1.4.

X-ray crystallography of the two lead inhibitors in complex with hACE2 resolved the structural basis for their activity. GR1.4 binds the active site at 2.39 Å resolution (PDB: 9RVT) as a rigid β-hairpin with two antiparallel β-strands bridged by a disulfide, burying 912 Å2 of surface. Alanine scanning confirmed that three of the four conserved turn residues are essential for binding. GR3.1.2 resolves at 2.02 Å (PDB: 28KD) in an unexpected cysteine-stabilized α-helix/α-helix fold resembling plant α-hairpinins, burying 1351 Å2 through an extensive network of polar contacts anchored by two arginine residues and multiple π-stacking interactions. Structural comparison with phage-display-derived BCY15291 and BCY15292 and mRNA-display-derived peptides 1, 2, and 6 showed that the yeast-derived macrocycles occupy lateral and opposing subregions of the catalytic pocket not contacted by the earlier inhibitors, with fewer than 20% of contacting hACE2 residues shared between the two sets.

The study demonstrates that yeast display can reach low-nanomolar inhibitory potencies against a therapeutically relevant metalloprotease starting from naïve combinatorial libraries at least 100-fold smaller than those used in phage and mRNA campaigns, without affinity maturation. The ability to characterize binding directly on the yeast surface compresses the hit-to-affinity timeline and provides continuous, quantitative visibility into the selection process. The discovery of distinct binding modes compared to previously reported inhibitors widens the structural space available to hACE2-targeted drug development, an advantage when lead optimization encounters dead ends with existing scaffolds. Two provisional patents and a spin-out company, Arzanya S.r.l., have already been established around this technology and the inhibitors described here, signaling a translational trajectory toward cardiovascular and inflammatory bowel disease therapeutics.


Author

Dr. Zhanna Romanyuk is a senior researcher at Arzanya S.r.l., an Italian startup focused on creating tailored macrocyclic peptide ligands. She obtained her Ph.D. in 2025 from Ca’ Foscari University of Venice under the supervision of Prof. Alessandro Angelini. Her doctoral research focused on the identification of macrocyclic peptide inhibitors for therapeutically relevant extracellular enzymes.

Author

Giacomo Bettin obtained his M.Sc. in Chemistry from the University of Padua, conducting research on peptide synthesis under the supervision of Professor Marta De Zotti. He is currently a Ph.D. candidate at the University of Udine, working in Professor Claudio Brancolini’s laboratory in collaboration with Arzanya S.r.l. His doctoral research centers on the development of cell-permeable macrocyclic peptide ligands to target transcription factors involved in cancer progression.

Author

Dr. Sara Linciano obtained her joint Ph.D. from Ca’ Foscari University of Venice and the Kyoto Institute of Technology. Her research focused on developing and optimizing a yeast-based platform to select and characterize macrocyclic peptide binders targeting plasma proteins to enhance the pharmacokinetic properties of small therapeutics. She is currently a postdoctoral fellow at Ca’ Foscari University of Venice under the supervision of Prof. Alessandro Angelini.

Author

Dr. Ylenia Mazzocato is a senior researcher at Arzanya S.r.l. She earned her Ph.D. in 2025 from Ca’ Foscari University of Venice under the supervision of Prof. Alessandro Angelini. Her research focuses on the development and optimization of yeast display technologies to discover potent and highly specific macrocyclic peptide-based inhibitors of cancer-associated proteases.

Yeast Finds Inhibitors

Author

Dr. Alessandro Angelini is a Professor of Biochemistry at Ca’ Foscari University of Venice. He obtained his Ph.D. under the supervision of Prof. G. Zanotti at the University of Padua, Italy. Subsequently, he worked as a postdoctoral researcher in Prof. C. Heinis’s laboratory at the École Polytechnique Fédérale de Lausanne, EPFL, and as a research scientist in Prof. K. D. Wittrup’s laboratory at the Massachusetts Institute of Technology, MIT. His research group focuses on developing macrocyclic peptide ligands using in vitro directed evolution approaches. These ligands further undergo thorough chemical, biophysical, and structural characterization to provide a comprehensive understanding of their binding properties to target proteins. He is also a co-founder of the startup Arzanya S.r.l.