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Addex Therapeutics Ltd: Addex, Stanford University and University of Copenhagen Publish mGlu2 Structure in Nature Using Addex Allosteric Modulators


Addex Therapeutics Ltd: Addex, Stanford University and University of Copenhagen Publish mGlu2 Structure in Nature Using Addex Allosteric Modulators
Data could enable acceleration of lead optimization using computer aided drug discovery tools
Addex existing mGlu2 positive allosteric modulator, ADX71149, in clinical studies for epilepsy and mGlu2 negative allosteric modulators in preclinical development for neurocognitive disorders
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1 - Addex Therapeutics (SIX: ADXN and Nasdaq: ADXN), a clinical-stage pharmaceutical company pioneering allosteric modulation-based drug discovery and development, today announced research revealing structures of the metabotropic glutamate receptor 2 (mGlu2) in complex with one of Addex s mGlu2 positive allosteric modulators (PAMs). The study, published in Nature, was headed by Professor Georgios Skiniotis (Stanford University) in collaboration with the University of Copenhagen and Addex. ....

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Iktos Announce Collaboration with UCB in AI for Retrosynthesis


Iktos Announce Collaboration with UCB in AI for Retrosynthesis
Iktos, a company specialized in Artificial Intelligence for new drug design and UCB, a global biopharma company focusing on neurology and immunology, today announced a software licensing agreement related to AI-based retrosynthesis analysis and planning tool Spaya which will be used to empower synthetic and medicinal chemistry projects for drug design and discovery of new chemical entities within UCB. Under the agreement terms, Iktos will deploy a customised version of Spaya within UCB s IT infrastructure to incorporate their reactions and starting materials data.
Iktos, a leading player in AI for
in silico drug design with established collaborations with many pharma companies and research organizations across the world, has recently diversified its R&D efforts into the development of an AI technology for retrosynthesis. Identifying and selecting synthetic pathways is one of the most challenging and time- ....

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