Clay Moore
Ph.D. Student @ Texas A&M University.
Houston, TX
Researcher working at the interface of neuroscience, natural products, and AI-driven drug discovery. My research focuses on computational modeling of neuroinflammation and neural plasticity, with an emphasis on identifying plant-derived and natural product-inspired compounds that may influence therapeutic pathways. I build in silico pipelines for molecular screening, receptor-state classification, and translational discovery workflows that connect computational biology with future wet-lab validation.
news
⏳ Uploading news. Updates coming end of month.
latest posts
Jul 2, 2026 · linkedin
AquaGen, a generative AI framework for small-molecule motion. The key point is simple: molecules are not static. Atoms move, solvent matters, and ignoring that can create false confidence in AI drug discovery predictions. AquaGen models molecular motion at all-atom resolution with explicit water and periodic boundary conditions, while running an order of magnitude faster than traditional molecular dynamics. That speed...
Jun 18, 2026 · linkedin
BoltzMol-1 hit on 6 out of 10 previously unseen targets while screening only 28-51 compounds per target. That’s a genuinely small number. Traditional screening campaigns can run thousands of compounds per target just to find a handful of hits. They’re compressing that dramatically. BoltzProt-1 nearly tripled hit rates on protein design compared to their earlier version, with 58% of candidates...