Schrödinger

Congratulations to Structure Therapeutics, a company co-founded by Schrödinger, on the selection of ACCG-2671, a dual amylin and calcitonin receptor agonist (DACRA), as the lead molecule for their oral amylin program for the treatment of obesity.

Schrödinger is proud to partner with City Tech, CUNY and LaGuardia Community College on the IMMERSE initiative, funded by the National Science Foundation (NSF). IMMERSE aims to increase entry points into drug discovery careers by enhancing student participation at multiple levels on the pathway from community college to a four-year institution to the workforce.

Schrödinger is looking forward to this year’s Society of Cosmetic Chemists meeting in Los Angeles, CA. Join our talk by Dr. Haidong Liu to learn how to leverage physics-based and machine learning tools to effectively screen for critical cosmetic ingredients, such as antioxidants. Learn more: https://hubs.li/Q02_6WBZ0 #Schrodinger #MaterialsScience #Sustainability #Cosmetics #AI/ML

As a member of the Sales team at Schrödinger, Kevin Halligan has spent the past 10 years helping companies leverage Schrödinger's computational platform to take a predict-first approach to drug discovery. "It's motivating for me to work for a company that's enabling transformative change in the biopharmaceutical industry."

Schrödinger is excited to host our third annual hackathon in support of the diverse community of women and non-binary engineers in NYC—especially those just starting their careers. Apply now to join us at our NYC Headquarters for two days of coding, networking, food, and fun. Learn more and apply: https://hubs.li/Q02-3sj70

Low-viscosity molecules are in high demand for applications in batteries and capacitors. Scientists from Panasonic and Schrödinger recently collaborated to explore novel low-viscosity molecules leveraging a combination of physics-based modeling, high-throughput screening, and AI/ML approaches. Learn more in the newly published paper: https://lnkd.in/eQQAKrJN If you are attending the upcoming MRS 2024 conference, join our presentations describing this new research and speak with our scientists about your R&D challenges. https://lnkd.in/eYxeNd3w #Schrodinger #Panasonic #MaterialsScience #DigitalChemistry #MachineLearning #AI

It was a pleasure to speak with Alex Philippidis about Schrödinger's strategic collaboration and expanded software agreement with Novartis. Learn more about the collaboration in the GEN article published earlier today.

Designing next-generation polymers requires optimization of several key properties simultaneously, which is challenging using traditional experimental approaches. Scientists at SABIC and Schrödinger recently published a paper presenting a novel workflow to optimize multiple polymer properties concurrently, which was validated experimentally to produce polymers with promising properties. Learn more in the publication: https://hubs.li/Q02YQk-r0 Read the story on our blog: https://hubs.li/Q02YQjJ50

Gaining a competitive advantage with AI/ML requires the talent, vision, and know-how of experienced professionals. Learn how Schrödinger’s materials domain experts ensure the success of your digitalization strategy: https://lnkd.in/gK8WYtDS #Schrodinger#MaterialsScience#DigitalChemistry#Machine Learning#AI

Today, Schrödinger announced that we are broadening and accelerating our initiative to predict toxicology risk early in drug discovery. The goal of the initiative — first announced earlier this year, and supported by funding from the Bill & Melinda Gates Foundation — is to develop a computational solution to improve the properties of novel drug development candidates and reduce the risk of binding to off-target proteins, which can be associated with serious side effects. This expansion will enable our team to more rapidly access relevant experimental structures. Learn more: https://lnkd.in/eC9nE_Tq