Bayer, Recursion join hands for AI drug discovery

Bayer will contribute with its small molecule compound library and expertise in biology and medicinal chemistry.

Published On 2020-09-10 04:30 GMT   |   Update On 2020-09-10 04:30 GMT

New Delhi: Bayer and US-based Recursion Pharmaceuticals, Inc., a digital biology company industrializing drug discovery, have entered into a strategic collaboration agreement. The partnership will leverage Recursion's purpose-built artificial intelligence-guided drug discovery platform and Bayer's small molecule compound library and deep scientific expertise to discover and develop new...

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New Delhi: Bayer and US-based Recursion Pharmaceuticals, Inc., a digital biology company industrializing drug discovery, have entered into a strategic collaboration agreement. The partnership will leverage Recursion's purpose-built artificial intelligence-guided drug discovery platform and Bayer's small molecule compound library and deep scientific expertise to discover and develop new treatments for fibrotic diseases of the lung, kidney, heart and more. In addition, Leaps by Bayer, the impact investment arm of Bayer AG, is leading Recursion's Series D financing with an investment of USD 50 million.

Under the terms of the agreement, the parties may initiate more than ten programs with possible development and commercial milestone payments of more than USD 100 million per program plus royalties on future sales. Bayer will gain the option to exclusively license novel therapeutics derived from the research activities. Bayer will contribute with its small molecule compound library and expertise in biology and medicinal chemistry. In addition to the USD 50 million equity investment, Recursion will receive an upfront payment of USD 30 million.

The Pharmaceuticals Business Development & Licensing team of Bayer facilitated the license, research collaboration, and option agreement of this deal.

"We are driving forward digital transformation in R&D as we believe that digital technologies such as artificial intelligence and machine learning, offer a myriad of novel opportunities to address the complex biology of many diseases and identify new treatments for patients," said Joerg Moeller, MD, Member of the Executive Committee of Bayer AG's Pharmaceuticals Division and Head of Research and Development. "The collaboration with Recursion enables us to discover small molecule drug candidates targeting novel biology for the treatment of fibrotic diseases and complements our expertise in cardiovascular research with digital technologies."

Fibrotic diseases are a significant cause of morbidity and mortality worldwide. One of the biggest challenges in the treatment of fibrotic diseases is the underlying complex biology and the associated difficulty in discovering relevant drug targets. Phenotypic screening is a method to screen for novel therapeutic molecules to uncover novel drug targets and their role in complex disease processes. Artificial intelligence and the use of machine learning methods allow the processing of enormous amounts of data – including high-resolution imaging – generated by these screens and offers unprecedented potential for the discovery of new drug candidates for diseases with complex biology such as fibrotic diseases.

"Leaps by Bayer invests in paradigm-shifting advances in the life sciences and artificial intelligence might be one of the most disruptive technologies of our time," said Juergen Eckhardt, MD, Head of Leaps by Bayer. "Recursion is a leading digitally-powered drug discovery company to lift biotech research to new horizons with the use of artificial intelligence and pioneers transformational machine-learning powered drug discovery with the potential to develop curative treatments in the future."

Recursion's drug discovery platform combines highly automated, wet lab biology experiments as the base for iterative learning through its computational tools. The purpose-built drug-discovery platform is based on a proprietary library of over half a billion images of human cells from more than 33 million experiments conducted in-house at Recursion and coupled with advanced data analytics based on machine learning. To date, Recursion has on-boarded over 750 cellular disease models to broadly interrogate diverse therapeutic areas.

"Many of the most significant innovations of this century will occur at the intersection of biology and technology. We believe that our vision of using technology to unravel the exceptional complexity of biological systems will lead to next-generation biotherapeutics at unprecedented speed, scale, and precision," said Chris Gibson, PhD, co-founder, and CEO of Recursion. "We have the potential to elucidate novel biological pathways, targets, and chemical entities across large disease domains such as fibrosis, neurodegeneration, neuroinflammation, and targeted oncology, which we believe will form the basis of early partnerships with key pharma stakeholders."

Also Read: Bayer to acquire Biotech KaNDy Therapeutics for over Rs 3180 crore

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