Ultralarge virtual screenings (ULVSs) evaluate billions of molecules for drug discovery but face cost, flexibility and scalability limits. We introduce AdaptiveFlow, an open-source platform that makes ULVSs more accessible, scalable and efficient and supports artificial intelligence (AI) and machine learning (ML) method development. AdaptiveFlow provides a screening-ready version of the Enamine REAL Space, to our knowledge the largest library of ready-to-dock, drug-like molecules, comprising 69 billion compounds, also available in SELFIES format. An 18-dimensional grid of molecular properties prioritizes promising chemical subspaces, with optional active learning, reducing computational costs by orders of magnitude. AdaptiveFlow integrates >1,500 docking protocols, including GPU-accelerated and ML-based methods, and achieves near-linear scaling on up to 5.6 million CPUs in the Amazon Web Services cloud. We identified nanomolar inhibitors of two disease-relevant targets, ferroptosis suppressor protein 1 (FSP1) and poly(ADP-ribose) polymerase 1. Co-crystal structures provided mechanistic insights into FSP1 inhibition. AdaptiveFlow enables drug discovery at unprecedented scale and supports the development of AI-driven methods.
Domiziana Cecchini, AkshatKumar Nigam, Ming Tang et al.· Nature Biotechnology· 0 citations
Small molecules that modulate protein complexes have transformed cell biology and oncology, yet few chemical starting points exist to probe protein-protein interactions. To expand this space, we developed molecular COUPLrs, elaborated small molecules flanked by two cysteine‑reactive warheads. Using CONNECT, an integrated chemical proteomic platform that identifies proteins and complexes amenable to coupling, we revealed 171 targetable protein classes, including mutant‑selective complexes and assemblies not traditionally addressed by small molecules. We then optimized a COUPLr against the oncogenic fusion EML4‑ALK. This compound engages EML4‑ALK by binding its EML4 domain, remodeling protein dynamics, disrupting downstream signaling, and inducing proteasome‑mediated degradation of the fusion. Finally, we show that FDA‑approved drugs can be converted into COUPLrs to degrade their targets, indicating that this modality can endow existing therapeutics with new functional properties. Overall, molecular COUPLrs offer an unbiased framework to discover, characterize, and pharmacologically exploit protein complexes.
Diane Yang, S. Harry, H. Chong et al.· Cancer Discovery· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
