Molecular Display of the Animal Meta-Venome for Discovery of Novel Therapeutic Peptides
Meng-Hsuan HsiaoiD, Yang MiaoiD, Zixing LiuiD, Konstantin SchützeiD, Nathachit LimjunyawongiD, Daphne Chun-Che ChieniD, Wayne Denis Monteiro, Lee‐Shin ChuiD, William R. MorgenlanderiD, Sahana JayaramaniD, Sung-eun Jang, Jeffrey J. GrayiD, Heng ZhuiD, Xinzhong DongiD, Martin SteineggeriD, H. Benjamin LarmaniD
Abstract
Animal venoms, distinguished by their unique structural features and potent bioactivities, represent a vast and relatively untapped reservoir of therapeutic molecules. However, limitations associated with extracting or expressing large numbers of individual venoms and venom-like molecules have precluded their therapeutic evaluation via high throughput screening. Here, we developed an innovative computational approach to design a highly diverse library of animal venoms and "metavenoms". We employed programmable M13 hyperphage display to preserve critical disulfide-bonded structures for highly parallelized single-round biopanning with quantitation via high-throughput DNA sequencing. Our approach led to the discovery of Kunitz type domain containing proteins that target the human itch receptor Mas-related G protein-coupled receptor X4 (MRGPRX4), which plays a crucial role in itch perception. Deep learning-based structural homology mining identified two endogenous human homologs, tissue factor pathway inhibitor (TFPI) and serine peptidase inhibitor, Kunitz type 2 (SPINT2), which exhibit agonist-dependent potentiation of MRGPRX4. Highly multiplexed screening of animal venoms and metavenoms is therefore a promising approach to uncover new drug candidates.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 5
- FWCI
- 1.33
- Field percentile
- top 19%
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Discovering venom-derived drug candidates using differential gene expression
J. D. Romano, H. Li, … N. Tatonetti·bioRxiv·Jun 1, 2023
- VenomKB v2.0: A knowledge repository for computational toxinology
Joseph D. Romano, Victor Nwankwo, Nicholas P. Tatonetti·bioRxiv·Apr 6, 2018
- Structural venomics: evolution of a complex chemical arsenal by massive duplication and neofunctionalization of a single ancestral fold
Sandy S. Pineda, Yanni K-Y. Chin, … Glenn F. King·bioRxiv·Dec 3, 2018
- Discovery of broadly-neutralizing antibodies against brown recluse spider and Gadim scorpion sphingomyelinases using consensus toxins as antigens
E. Rivera-de-Torre, S. Lamparidou, … A. H. Laustsen·bioRxiv·Apr 17, 2023
- Venom-inspired somatostatin receptor 4 (SSTR4) agonists as new drug leads for peripheral pain conditions
Walden Emil Bjørn-Yoshimoto, Iris Bea L. Ramiro, … Helena Safavi-Hemami·Scientific ReportsPeer-reviewed·Nov 28, 2025
- Accelerating multi-objective VHH discovery via integrated high-throughput selection and AlphaFold3-guided structure prediction
Max D. Overath, Suthimon Thumtecho, … Timothy P. Jenkins·bioRxiv·Jan 20, 2026