Modeling Services: A high-velocity entry point to the Schrödinger platform
Date & Time 
Location - Virtual
If you have trouble registering, please email marketing@schrodinger.com
Unlocking the proven capabilities of the industry-leading Schrödinger platform can be a game changer for your drug discovery program, significantly compressing timelines, reducing costs to the clinic, and increasing the overall probability of success.
Whether you are an established Schrödinger user looking to scale, an organization currently ramping up infrastructure, or a team with limited internal computational chemistry capabilities, Schrödinger’s Modeling Services offer a high-velocity entry point in the form of access to our advanced workflows at scale, as well as more flexible modeling support to extend your team’s capabilities and advance your pipeline.
From structures to in silico structure-based assay
A major milestone in unlocking the platform’s power is establishing FEP+ as an in silico structure-based assay, concretely enabling accurate quantitative predictions both on- and off- your target.
In this webinar, our experts will share how our Target Enablement Services enable optimal FEP+ predictions, with a proven track record of success starting from virtually any level of available structural data – whether you are working with co-folding models, cryo-EM, or even X-ray experimental structures.
Join us to learn how Schrödinger’s Modeling Services offer a fast-track gateway to the transformative power of our platform for your program.
Key Highlights
- The Dual Advantage: Understand the synergy between our Modeling Services and software platform to maximize your R&D investment
- Shortening the Runway: Learn how services accelerate the translation of structural data (X-ray, cryo-EM, AlphaFold) into “FEP+-ready” models, bypassing common adoption bottlenecks
- Target Enablement as a Launchpad: See real-world success stories where our team enabled challenging targets, providing the structural foundation for customers to then take over and drive programs independently
- Beyond the Project: An introduction to Advanced Support Days – how our experts provide ongoing, high-level technical partnership to ensure your team’s long-term success on the platform
Who Should Attend
- Medicinal chemists and discovery scientists who want to leverage predictive modeling immediately without a steep learning curve or delay
- Computational chemists and structural biologists who work on targets (or off-targets) that are challenging to fully structurally enable with FEP+
- Project managers interested in shortening the timeline to project impact or need to extend the capabilities of their team
- R&D leaders looking to de-risk their computational transition and ensure their team has the structure-based assays needed to run the platform effectively
If you have trouble registering, please email marketing@schrodinger.com
Our Speaker
Jeremie Vendome
Executive Director, Applications Science, Schrödinger
Dr. Jeremie Vendome is Executive Director of Applications Science at Schrödinger and Global Head of Modeling Services. Since joining the company in 2015, he held roles of increasing responsibility to bridge Schrödinger’s advanced computational chemistry platform with real-world drug discovery outcomes, across the pharma/biotech industry. He currently leads the US Applications Science group and oversees both the scientific direction and growth of Modeling Services. With over 15 years of experience in computational chemistry and drug discovery, Dr. Vendome brings a strong track record of collaborative research and impact in active drug discovery projects, from early hit discovery to late lead optimization. Prior to joining Schrödinger, he worked as a computational chemist in the pharmaceutical industry and led a CADD collaborative platform at Columbia University Medical Center, supporting diverse therapeutic programs. Dr. Vendome obtained his PhD from the École Normale Supérieure in France and completed his postdoctoral training at Columbia University in the laboratory of Prof. Barry Honig, focusing on protein–protein interaction energetics and specificity through integrated computational and experimental approaches.