Drug Discovery Scientist · NYB.AI
As a Drug Discovery Scientist at NYB.AI, Dr. Thanh Nguyen applies artificial intelligence and computational modeling to accelerate target identification, screen molecular libraries, and optimize therapeutic leads. He earned his PhD from Southern Medical University, China, where his research focused on the discovery of natural compounds as novel drug candidates. Bridging his expertise in natural product chemistry with AI driven discovery platforms, he streamlines early stage drug development to advance innovative, targeted therapeutics.
公開リソース 2 件
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Vecura now runs Selenium, the retrosynthesis model from b12 Labs, as the final step of its discovery workflow, so a molecule you generate comes back with routes for making it. Here is what that looked like on a real run against NEK2.
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How an output-driven perspective can help researchers select graph-based AI models for drug-target interaction research, with a closer look at DTIGN and LigoSPACE.