Predicting binding affinity
I wanted to share a small personal project I have been working on: an end-to-end machine learning pipeline for protein–ligand binding prediction. The question I wanted to explore was: Can protein foundation model embeddings, combined with molecular fingerprints, help predict whether a small molecule is likely to bind a protein? In this project, I used ESM-2 to generate protein sequence embeddings and combined them with ligand representations such as Morgan fingerprints, MACCS
Bio-IT 2026
It was a great pleasure to participate in Bio-IT World together with my colleagues including Brook Santangelo, Jennifer Schreiber, PhD, PMP, Bill Fitzgerald and the whole Business Development team. This conference brought together many leaders from computational biology, biotech, pharma, and AI community. Bio-IT World is always a unique place where computational scientists, IT leaders, bioinformaticians, and AI researchers come together to discuss how data, infrastructure, an
