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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. 4. 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.

From neuromas to novel modulators, this episode is full of breakthroughs that matter for patients. 📲 From neuromas to novel modulators, this episode is full of breakthroughs that matter for patients. 📲

Home → Flash News → terrys corner model drug response Published on July 10, 2025 Category Terry's Corner In Terry’s Corner latest lesson, discover how pharmacologic models do just that. From historical linkage theory to dynamic probability models, the comparison of data to theory will be

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.

GPCR Retreat Program < Back to schedule Biased agonism at the GLP-1 receptor: from structure to animal models

Home → Flash News → master gpcr pharmacologic models before its too late Published on July 11, 2025 Category They’re stalling because of slow decisions, misapplied models, and buried priorities. Terry’s Corner breaks down the 4 pharmacologic models that separate forecasting from guessing. Dr.

Committee Sponsors GPCR Retreat Program < Back to schedule Pharmacological and Genetic Preclinical Models

Master dose-response, binding, kinetics, and foundational models. Driving drug discovery? Master dose-response, binding, kinetics, and foundational models. Driving drug discovery?

⚠️ What you’ll learn: ✅ Drug absorption, metabolism & clearance ✅ PK-PD modeling & therapeutic profiles ⚠️ What you’ll learn: ✅ Drug absorption, metabolism & clearance✅ PK-PD modeling & therapeutic profiles

Home → Flash News → 🚀 New Workshop: Practical Quantification of Allosteric Modulation Join Dr. Terry Kenakin on May 1st, 2025, for an advanced live workshop on allosteric modulators in GPCR drug discovery Learn how to: ✔️ Identify, measure, and quantify allosteric properties ✔️ Apply functional allosteric models Terry Kenakin on May 1st, 2025 , for an advanced live workshop on allosteric modulators in GPCR drug Learn how to: ✔️ Identify, measure, and quantify allosteric properties✔️ Apply functional allosteric models

decisions—starting with: • The role of pharmacology in discovery strategy • Black & Leff’s operational model—finally decisions—starting with: 🟢 The role of pharmacology in discovery strategy 🟢 Black & Leff’s operational model—finally

Learn dose-response, agonism, binding, bias, kinetics, and the models that build real confidence. 🟢 Sharpen your edge with allosteric modulation, residence time, molecular dynamics, and translational PK Learn dose-response, agonism, binding, bias, kinetics, and the models that build real confidence. 🟢 Sharpen your edge with allosteric modulation, residence time, molecular dynamics, and translational PK

At Uppsala University, Jens Carlsson’s lab uses modeling to shape experiments—not just explain them. Home → Flash News → ep 175 with jens carlsson clip 2 If your model can’t change an experiment, what’s GPCR Podcast If your model can’t change an experiment, what’s the point? That’s the standard Dr. For him, modeling isn’t just about elegant simulations; it’s about impact . His team is clear about the capabilities and limitations of their models, an honesty that builds long-term

AI is transforming GPCR modeling. For decades, molecular modeling focused on explaining — rationalizing why a ligand binds, why a mutation With tools like AlphaFold , his lab can now model receptor–peptide complexes in seconds — an achievement A good model doesn’t just match published structures; it forecasts new biology, new ligands, and new insight reframes what “success” in computational pharmacology really means. 👉 Watch the full episode: model

Home → Flash News → ep 175 with jens carlsson clip 1 Can your model actually predict the outcome of a Can your model actually predict the outcome of a GPCR experiment? At Uppsala University, Dr. Jens Carlsson and his team are redefining what computational modeling means in drug discovery. models have too often served as post hoc rationalizations. His team is candid about the limits of their models.

Home → Flash News → ep 175 with jens carlsson release picture Model. Predict. But in the quiet hours, he found himself drawn to the structures, to the models, to figuring out why Professor of Computational Biochemistry at Uppsala University , where his lab uses structure-based modeling GPCR Podcast : https://www.ecosystem.drgpcr.com/dr-gpcr-podcast/model-predict-discover #DrGPCR #GPCR

Dive into the logic of drug modeling with Terry Kenakin. In his latest lesson, he breaks down the essential models shaping modern pharmacology.

Jens Carlsson's take on predictive modeling. Jens Carlsson on predictive modeling—where structure-based design and MD guide experiments (and where If you’re advancing covalent or tight-binding candidates—or building models meant to predict, not narrate

Before focusing on the development of innovative mathematical modeling and simulation methods for drug They explored the potential of merging mathematical models with biology, the complexities of GPCRs within Integrating Mathematical Models and Biology: A Fascinating Discussion Yamina and Aurelien Rizk had a conversation about the importance of merging mathematical models and biology. and relevance of mathematical models in systems biology and pharmacology.

🚀 Whether you're diving into GPCR drug discovery, pharmacology, or advanced modeling, there's a course 🚀 Whether you're diving into GPCR drug discovery, pharmacology, or advanced modeling, there's a course

For him, modeling isn’t just about elegant simulations; it’s about impact . Rethink outdated models. Translate early data into better decisions. models have too often served as post hoc rationalizations. His team is candid about the limits of their models. #DrGPCR #GPCR Model. Predict. Discover. – Podcast Episode Release October 22, 2025 Dr.

biased agonism, and incorporates computational and mathematical modelling, structural and chemical biology , molecular and cellular pharmacology, medicinal chemistry, and preclinical models of behaviour and disease The conversation ended with Arthur's ongoing research and his development of a new operational model. model for allosteric modulation, emphasizing the balance between mechanism and empiricism. importance of establishing the correct disease context, setting up appropriate assays, and understanding the models

Alessandro Nicoli shares how he models olfactory GPCRs with AlphaFold, mentors students, and builds science “AlphaFold gave us a face to those proteins… now we have 400 models to start with.” – Alessandro Nicoli a specific odorant receptor (R5VK1), where they leveraged known active/inactive ligands to validate models Build predictive models to discover new ligands . 8. Stefano Moro, where he worked on integrated Nuclear magnetic resonance (NMR) and computational modeling

PK principles ✅ Clearance & Distribution – Renal & hepatic clearance, key pharmacokinetics ✅ PK-PD Modeling metabolism, PK principles✅ Clearance & Distribution – Renal & hepatic clearance, key pharmacokinetics✅ PK-PD Modeling

Alex Serafini shares why pain research must start with real-world behavior and models before drilling Research Playbook Looking ahead, Serafini’s vision is bold: build a lab that develops translational models He's equally focused on sex differences in pain processing and the failure of "one-size-fits-all" models podcast, GPCR data platform, GPCR training program, RGS4, chronic pain, epigenetics, translational models He aspires to become a physician-scientist, with a focus on translational in vitro and in vivo model

postdoctoral role at the Polytechnic University of Turin (Italy), where he developed coarse-grained models tenure-track position, his research spans the development of computational methods such as structure-based models

Her next career step took her to AstraZeneca as a postdoctoral trainee, where she studied animal models of pain and sensory neuron sensitive-receptor. Andrew Charles that who specialized in animal models of migraine and delta-opioid receptors as a therapeutic

strategies to express, reconstitute and assay engineered GPCRs using the visual pigment rhodopsin as a model that stemmed from this work, such as the concept of “functional micro-domains” and the “helix movement model Tom’s lab also pioneered the early use of computational homology modeling, molecular dynamics simulations

From her early doubts to designing preclinical models of fentanyl and xylazine overdose, she reflects The methods used to measure respiratory depression in live models. shut down breathing through different mechanisms—work that blends receptor pharmacology, preclinical models

including structural biology and proteomics, molecular biology and biochemical enzymology, primary and model cell culture, and transgenic, knockout, knock-in and conditional models of mouse physiology and behavior