Evotec and Related Sciences form drug discovery and development partnership

Evotec has entered into an integrated multi-target drug discovery agreement with biotech venture creation firm Related Sciences to generate multiple drug development candidates, biomarkers, and IND filings over a multi-year period.

Evotec and Related Sciences will jointly discover and develop a range of therapeutic approaches for clearly defined patient populations with significant unmet medical needs. Related Sciences integrates data-driven identification of promising new therapeutic opportunities for patients with a unique team-science model that assembles field leaders from around the world to de-risk and advance the creation of valuable new medicines in breakthrough areas of biology.

By partnering with Evotec, Related Sciences will benefit from Evotec’s computational capabilities, and disease area know-how in drug discovery and development. Evotec will leverage its comprehensive proprietary platform of integrated discovery and development services to progress the joint programmes from target to the clinic, informing drug intervention strategies, supporting target prioritisation and target validation, and generating hits, leads, candidates, and biomarkers.

Dr Craig Johnstone, Chief Operating Officer of Evotec, said: “We are delighted to enter into this unique and transformative partnership with Related Sciences. Through the integration of best-in-class science, human data-driven target selection, project leadership, and portfolio management, the combined expertise of Evotec and Related Sciences will generate novel, high-quality therapeutics, leading to treatments for patients with significant medical needs.”

Dr Jack Milwid, Managing Partner and Head of Research at Related Sciences, said: “Our platform at Related Sciences integrates insights from data and field-leading scientists to answer the question ‘where can major new therapeutic advances be achieved for patients in need?’ Evotec’s world-class, multimodality, integrated discovery and computational capabilities significantly empowers our efforts to uncover new, best-in-class medicines for poorly served patient populations.”

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