Search Results

GPCR Drug Discovery at Discovery on Target 2025 — The Track You Can’t Miss If you work in drug discovery And at this year’s Discovery on Target  meeting in Boston, the GPCR Drug Discovery track will deliver I’m honored to be chairing a session  in this track — with none other than Terry Kenakin  on the speaker When we step into the GPCR track at Discovery on Target, we’re not just participating. Structure-based design  powered by cryo-EM and AI. 🔬 Inside the GPCR Track Agenda Expect deep dives

Unlocking the Puzzle: The Importance of Precision in GPCR Programs and the Hidden Costs of Overlooking Details. A GPCR program can have world-class science, top-tier talent, and millions in funding — and still fail. Not because the science is wrong. Not because the people aren’t brilliant. But because the program is run on duct tape and heroics instead of precision. Your program isn’t slipping because of bad science — it’s bleeding money because your systems were broken before the first experiment ran. And every time your Head of Biology spends each night copy-pasting data instead of thinking about the next experiment, your program is bleeding six figures in lost time and wasted salaries. Brilliant minds doing low impact work is not a strategy. It’s a slow-motion car crash. Hiring Won’t Save Your GPCR Drug Discovery Program When a drug discovery program stalls, the default reflex is always the same: hire more people. Bring in a computational chemist. Add a data scientist. Surely more hands will move the needle. But here’s the reality: even ultra-specialized experts can’t fix systemic dysfunction in their spare time. They’re hired for science, not for building operational scaffolding. And when you chain your highest-paid scientists to repetitive admin work, you’re not solving problems — you’re multiplying them. Every two-week delay in a DMTA cycle can burn through hundreds of thousands in salaries and overhead. That’s not a hiccup. That’s a hemorrhage. Bad Data Management Is Undermining Your GPCR Drug Discovery Team The real problem isn’t competence. It’s the absence of operational precision. Even flawless experiments collapse under sloppy systems. A few familiar failure points: Fragmented Data: GPCR programs spew data across files, folders, and inboxes. Without a unified drug discovery data management  pipeline, teams waste hours cleaning, reconciling, and integrating before they can even think about analysis. A good ELN that pipes instrument outputs into a central hub — where QC, analysis, consumption and consolidation across assays — isn’t a luxury. It’s oxygen. Undefined Protocols: “We’ll figure it out” is not a workflow. Without clear rules of engagement, communication becomes chaos, progress gets lost in Slack threads, and insights die in inboxes. Ambiguous Decision Gates: Molecules advance or stall based on vibes, not criteria. That leads to premature investment in weak scaffolds or endless tinkering with dead ends. These aren’t minor oversights. They’re cracks in the foundation. And cracks don’t stay small for long. Build Precision Systems for GPCR Drug Discovery The only way out for GPCR drug discovery programs isn’t more people or shinier assays. It’s a deliberate blueprint for precision. This doesn’t mean an overnight overhaul. It means a commitment to continuous improvement — starting with the highest-friction gaps and working upward. Plan, fix at the root, and stop fighting the same fire every week. The payoff? Progress that’s predictable, not reactive. The Hidden Costs of Poor Drug Discovery Data Management Stop pretending more hires or new assays will save you. They won’t. Every DMTA cycle lost to fragmented data and sloppy processes costs your company hundreds of thousands of dollars. That’s not “part of the process.” That’s a chaos tax — and you’re paying it in cash, time, and morale. If you want your program to survive, you need a Blueprint for Precision. Not next quarter. Not after the next fire drill. Now. Because the truth is harsh: in drug discovery, you don’t run out of science. You run out of money. And if your systems aren’t built for precision, you’ll run out fast. 👉 In Part 2, we’ll expose exactly how fragmented data cripples GPCR programs — and how to fix it before it sinks yours. And if you’re already seeing the cracks? Don’t wait for Part 2. Reach out. Let’s build the systems now, before the next delay burns another half a million. 🚀 Book your free 30-minute precision audit — before your next DMTA cycle costs another $200K Let’s unlock the momentum your GPCR program needs. 👉 https://calendly.com/drgpcr/yamina-corner Or explore how we can work together: 👉   Yamina.org

October 2022 Cholesterol-Dependent Dynamics of the Serotonin1A Receptor Utilizing Single Particle Tracking To explore the role of cholesterol in lateral dynamics of GPCRs, we utilized single particle tracking

Fast-track your biotech investments with VC Insights. Home About Services News Get in Touch Welcome VC Insights Fast Track Your Next Biotech Bet Get decision-grade Fast Track My Discovery The wrong CRO—or wrong experiments—can burn months and millions You're not here “The team’s updates sound polished, but we can’t tell if they’re on track.” I bring structure, decision frameworks, and momentum so your team stays on track.

dopamine transporter (DAT), the Vesicular Monoamine Transporter 2 (VMAT2), Tyrosine Hydroxylase (TH) and Trace

Trinquet shares the inside story behind the development of pH Sense, Revvity’s latest innovation for tracking Why pH Sense enables high-throughput, no-wash tracking of GPCR internalization—even at endogenous expression