From High-Throughput Screening to AI-Driven Design: Advancing PPI Drug Discovery
At CHI’s 21st Annual Drug Discovery Chemistry Conference, Axxam highlights two complementary approaches for addressing one of drug discovery’s most challenging targets: protein–protein interactions (PPIs).
A High-Throughput Screening and Triage Platform for Identifying PPI Disruptors in Cancer
This work presents a robust screening and triage platform that enabled the evaluation of over 400,000 compounds to identify selective PPI disruptors in cancer, combining cell-based and lysate assays with a structured hit validation cascade
Machine Learning–Guided De Novo Design of a Proprietary PPI Modulator Library
This poster highlights a machine learning–driven strategy to design a proprietary library of PPI modulators, leveraging curated datasets, generative models, and optimization algorithms to explore novel chemical space with improved drug-like properties
