top of page

Search Results

Results found for "EraCal"

Posts (15)

  • Novo Nordisk moves to strengthen obesity efforts

    year, Novo Nordisk is strengthening its position in the obesity space through a collaboration with EraCal Under the joint research plan, the Danish giant will work with EraCal to identify novel drug targets Although specific details of the collaboration are yet to be released, EraCal has confirmed that the

  • How Breakthroughs Happen: Eric Trinquet on Innovation, Serendipity & GPCRs

    Eric Trinquet, a veteran innovator behind functional GPCR assays like HTRF and IP-One, believes rigid “You can try, try, try—and fail, fail, fail,” Eric says. Instead of chasing linear progress, Eric encourages young scientists to stay playful longer—embracing Eric and his team rejected the calcium route entirely. Eric is clear: real innovation requires real partnerships.

  • From Multiplex to Models: Scaling Up GPCR Discovery in the Post-Silo Era

    Watch Episode 167 Today’s GPCR scientists don’t want to study one interaction, they want to model the network. In Episode 167, Dr. Sakmar reflects on a generational shift in training. The newest scientists want scalable, automated systems and the tools to move from data collection to insight . Building for the Future The Sakmar lab built a system to meet that need: Dual-epitope tagged constructs (N-term FLAG, C-term 1D4) Compatible with multiple readouts: proximity, immuno assays, pulldowns Validated antibodies + digital search platform Entire library hosted on Addgene This wasn’t a flash-in-the-pan project. It was structured, collaborative infrastructure . “The students of today want biosensors, miniaturization, and multiplexing. This delivers all three.” — Tom Sakmar A Use Case for Every Angle Beyond RAMPs, this platform can study: Scaffold protein interactions  (e.g., 14-3-3) Heterodimerization Endogenous vs. overexpressed systems Orphan GPCR deorphanization Ligand screening and functional validation Training the Next Wave Graduate students and visiting scientists are already expanding this work, bringing in computational layers  like AlphaFold to model GPCR-RAMP complexes in silico. Kotliar sums it up best: “We went from one receptor to many… and now, from many, we can go back to one, with purpose.” Listen to the complete episode to learn more. _________________ Keyword Cloud : GPCR scientist network , GPCR online course , GPCR data platform , multiplex assays , GPCR drug discovery

View All

Other Pages (2)

View All
bottom of page