A Final Aha Moment: Try the Crazy Idea When a collaborator offered a neuroma model (one where opioids _____ Keyword Cloud: GPCR online course, early-career scientists, imposter syndrome, GPCR podcast, neuroma model

“We’ve seen these modulators rescue opioid function where it completely fails in neuroma models. .” – Ben Clements By combining chronic pain models with receptor-level pharmacology, Ben is bridging molecule to model, and model to patient. Neuropathic conditions like neuromas often resist standard opioid treatments. collaborations across medicinal chemistry and neuropathic pain research, Ben is bridging molecule to model

Terry Kenakin’s newest foundational lesson in Terry's Corner  cuts straight to it:   Why models are vital for translating lab data into clinical forecasts The 4 types of pharmacologic models (and when to use each) The truth about linear models: useful or misleading? How the Mass Action Law underpins nearly every model Future of Receptor Theory: Linkage vs. Unlock "Pharmacologic Models" now

He is particularly excited by the novel application of PAMs in chronic and neuropathic pain models , including the neuroma model , which is typically opioid-insensitive. Discovering breakthrough results in neuroma pain models via a spontaneous collaboration. This project involves molecular pharmacology in cell models to determine binding sites and mechanisms of allostery, as well as efficacy studies in mouse and rat models of acute and chronic pain.

Can models predict drug outcomes? Jens Carlsson shares how GPCR modeling is moving from explanation to real prediction in drug discovery . << Back to podcast list Strategic Partner(s) Model. Jens Carlsson What if models didn’t just explain the past — but could truly predict what comes next? Yamina Berchiche to share his unconventional journey from aspiring engineer to GPCR modeler.

, and confronting the true-negatives problem that quietly breaks so many published models. True negatives quietly wreck biological models. Most published models rely on inferred negatives — genes or molecules assumed inactive by convenience , the model's predictions changed radically. 37:01 Reading GPCR signaling dynamics with computational models 39:53 Generative models, scoring functions