Sanofi and Exscientia establish strategic research collaboration
Sanofi and Exscientia will develop up to 15 novel drug candidates by leveraging the latter's AI discovery and optimisation platform.
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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
Sanofi and Exscientia will develop up to 15 novel drug candidates by leveraging the latter's AI discovery and optimisation platform.
A research team based at Skoltech in Russia has developed an artificial intelligence-driven solution for highly accurate detection of efficacious binding sites to expedite drug discovery.
In this latest episode, we discuss how small molecule discovery can be automated and how this process saves researchers time and money.
Altasciences has announced its acquisition of Sinclair Research, a pre-clinical CRO, to expand its services across the US.
A new platform, named Virtual Synthon Hierarchical Enumeration Screening, has been developed by researchers to efficiently discover drugs.
Taking a novel approach to antibiotic discovery, researchers at Rockefeller University have hit upon a promising solution to the problem of superbugs – a pervasive threat in hospitals the world over.
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
With a range of tools available to scientists in the field of therapeutic discovery and development, flow cytometry presents an advantageous method to sort cells based on subtle differences. To find out more, Drug Target Review’s Victoria Rees spoke with Dr Peter O’Toole, Head of Imaging and Cytometry and Dr…
Researchers have found a quinoxaline-core containing, non-genotoxic lead compound that could treat schistosomiasis following optimisation.
This ebook includes articles on flow cytometry in drug discovery and how it is applied to leishmaniasis research. Also included is a piece on how flow cytometry is being used to support the translational research of immuno-oncology therapies.
This issue includes articles that discuss the development of long-term 3D tissue cultures from human biopsy samples, the application of flow cytometry in drug discovery and automation for upstream processing in a biologics manufacturing environment. Also included are features on informatics, proteomics and CRISPR.
GlaxoSmithKline (GSK) and the University of Oxford will collaborate to investigate diseases using technologies such as functional genomics and machine learning.
Scientists identify a drug candidate to minimise erratic muscle movements, called dyskinesia, associated with Parkinson’s disease.
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
The funding will accelerate clinical development of cell therapies using breakthrough gene engineering technology opti-oxTM.