Close
CDMO Safety Testing 2026
Novotech

Schrodinger Taps Google Clouds High-Performance Compute Solution to Bolster Its Drug Discovery Efforts

Note* - All images used are for editorial and illustrative purposes only and may not originate from the original news provider or associated company.

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access the Media Pack Now

– Book a Conference Call

Leave Message for Us to Get Back

Related stories

eschbach Unveils Seqonis Intelligent Operations Platform

eschbach has renamed its flagship enterprise software platform, Shiftconnector,...

QIAGEN and NVIDIA Join Forces to Advance AI-Driven Drug Discovery

QIAGEN's Digital Insights bioinformatics division is set to integrate...

Bioprocess Analytics Improving Biologics Manufacturing

The immense complexity of modern biopharmaceutical production is being navigated through the strategic and systematic application of bioprocess analytics improving biologics manufacturing. By leveraging real-time data streams and advanced monitoring tools, manufacturers can gain a granular, molecular-level understanding of cellular behavior and the surrounding environmental conditions within the bioreactor. This proactive, data-driven approach allows for immediate, automated adjustments that optimize therapeutic yield, ensure absolute product consistency, and significantly streamline the arduous path toward commercial-scale production in a highly regulated global environment.
- Advertisement -

Schrödinger, Inc. announced it has entered into a three-year agreement with Google Cloud to substantially increase the speed and capacity of its physics-based computational platform for drug discovery. As part of the agreement, Schrödinger has selected Google Cloud as the preferred cloud platform for its leading simulation software.

The strategic partnership gives Schrödinger’s drug discovery team access to the capacity equivalent of the world’s most powerful supercomputers by harnessing thousands of Google Cloud GPUs, which are designed to accelerate complex processes such as large-scale physics-based methods and machine learning through parallel computing. This expanded capacity is designed to further enable Schrödinger and its drug discovery collaborators to rapidly predict critical properties of billions of molecules per week.

“We’re excited to harness Google Cloud’s highly scalable system to run extensive free energy calculations to assess binding affinities through our compute-intensive FEP+ application. This partnership also enables us to further leverage BigQuery to analyze important molecular properties nearly instantaneously,” said Shane Brauner, Schrödinger’s Chief Information Officer. “This partnership is expected to allow us to expand the use of our physics-based computational platform to continue to rapidly explore very large swaths of chemical space.”

“Our collaboration with Schrödinger has the potential to improve drug discovery for research and life science organizations by helping the industry move more quickly to identify molecules that can be developed into important therapeutics,” said Rob Enslin, President, Google Cloud. “We are thrilled to work closely with them as part of our long-running partnership.”

About Schrödinger

Schrödinger’s industry-leading computational platform to accelerate drug discovery and materials design is deployed by leading biopharmaceutical and industrial companies, academic institutions and government laboratories worldwide. In addition to this global business, Schrödinger is also applying its computational platform to a robust pipeline of drug discovery programs in collaboration with pharmaceutical companies and has co-founded leading biotech companies. In addition, Schrödinger is using its platform to advance a pipeline of internal, wholly-owned drug discovery programs. Schrödinger’s significant and ongoing investment in basic research continues to drive advances in its computational platform. Founded in 1990, Schrödinger has over 400 employees in its New York City headquarters and around the world.

Never miss a pharmaceutical headline

The pharmaceutical industry moves fast – stay on top of it with our must - read briefings.

  • The top pharma and life sciences stories, straight to your inbox
  • The biggest news, features, interviews, and analysis
  • Dedicated coverage of the key developments driving the global pharmaceutical sector

Latest stories

Related stories

eschbach Unveils Seqonis Intelligent Operations Platform

eschbach has renamed its flagship enterprise software platform, Shiftconnector,...

QIAGEN and NVIDIA Join Forces to Advance AI-Driven Drug Discovery

QIAGEN's Digital Insights bioinformatics division is set to integrate...

Bioprocess Analytics Improving Biologics Manufacturing

The immense complexity of modern biopharmaceutical production is being navigated through the strategic and systematic application of bioprocess analytics improving biologics manufacturing. By leveraging real-time data streams and advanced monitoring tools, manufacturers can gain a granular, molecular-level understanding of cellular behavior and the surrounding environmental conditions within the bioreactor. This proactive, data-driven approach allows for immediate, automated adjustments that optimize therapeutic yield, ensure absolute product consistency, and significantly streamline the arduous path toward commercial-scale production in a highly regulated global environment.

Cell Therapy Quality Control Improving Clinical Outcomes

The long-term success of advanced medicinal products is fundamentally dependent on a rigorous and comprehensive approach to cell therapy quality control improving clinical outcomes. By implementing stringent, multi-stage testing for identity, purity, potency, and safety, manufacturers can guarantee that every individual dose delivered to a patient meets the highest possible standards of GMP compliance. This systematic and data-driven oversight minimizes clinical risks and enhances the reproducibility of complex treatments, ultimately leading to more predictable and successful therapeutic results in the rapidly evolving field of regenerative medicine.

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access theMedia Pack Now

– Book a Conference Call

Leave Message for Us to Get Back

Translate »