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UCL TRO Drug Discovery Group | Therapeutic Accelerator Program (TAP) | Collaborative Drug Discovery, Inc. |
UCL Translational Research Office(TRO) builds on an increasingly vibrant translational culture across the School of Life and Medical Sciences (SLMS) and the wider university community by providing integrated support for translational research,... |
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Chemical registration system Activity & Registration - Web application within CDD Vault for chemical registration, assay data management, and SAR analysis. |
Partnerships |
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Eisiai Partners with Johns Hopkins Brain Science InstituteEisiai Partners with Johns Hopkins Brain Science Institute ("BSi") an institute which is part of Johns Hopkins University to develop new drugs for neurological diseases. Under this joint collaboration, BSi will provide validated targets to Eisai... View all Sanofi to Collaborate with UCSF to Develop New Drugs to Treat DiabetesUniversity of California, San Francisco (UCSF) has entered into a broad collaboration agreement with Sanofi to develop new therapies to treat Diabetes (Type 1 & 2). Scientists with deep biology expertise at Sanofi will be partnering with... View all Argenta and ANTABIO Announce Drug Discovery CollaborationArgenta, a Galapagos NV (Euronext: GLPG) company that provides drug discovery services from target validation to proof of concept, announced today that it has achieved a milestone with its collaboration partner Antabio in an anti-bacterial drug... View all |
 Join us for breakfast, lunch, or cocktails in your local time zone for our monthly webinar series on... 04 March, 2021 I would like to extend an invitation to you to attend the 2020 Symposium hosted by the Drug... 10 March, 2021 The 8th edition of the conference intends again to bring together biophysicists and medicinal... 10 March, 2021 |
Drug Discovery Opportunities at D. E. Shaw Research
id: 21208 Computational Chemistry and Biology Opportunities at D. E. Shaw Research
id: 21210 Faculty Position – Tenure-Track/Tenure level
id: 21174 Postdoctoral Position in Molecular Microbiology/Bioinformatics
id: 21175 |
