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His work spans deep academic research, startup life, and the application of machine learning and pharmacology It was investor rejections, endless slide decks, and the steep learning curve of biotech business. But it was also a crucible: Ajay learned that science doesn’t matter if you can’t convince the world learning with structural and functional GPCR data. Superluminal is building systems that learn from receptor movement, conformational shifts, and complex

We used machine learning (ML) techniques to identify specific interactions that correlate with the agonist

." — DrGPCR University Attendee 🚀 Join now — and learn to design drugs that don’t just bind tighter,

GPCR pharmacologist, biotech entrepreneur, and co-founder of Superluminal Medicines, a company using machine learning to unlock new GPCR-targeted therapies. What You’ll Learn in This Episode How Ajay’s failed MD/PhD application rerouted his path toward a breakthrough learning to explore GPCR structure-function relationships and predict biased signaling with precision GPCR Learning Ecosystem ✔ Full Masterclass library ✔ Terry's Pharmacology Corner ✔ Advanced GPCR courses

AI and machine learning are opening new doors—but only if scientists know their tools’ limits. What You’ll Learn Why Jens Carlsson believes modeling should predict , not just explain How his team By combining molecular docking, molecular dynamics, and machine learning, Jens works at the intersection GPCR Learning Ecosystem ✔ Full Masterclass library ✔ Terry's Pharmacology Corner ✔ Advanced GPCR courses

modeling, bioinformatics, cheminformatics, molecular dynamics simulations, free-energy perturbations, machine learning, etc. GPCR Learning Ecosystem ✔ Full Masterclass library ✔ Terry's Pharmacology Corner ✔ Advanced GPCR courses