Relation Therapeutics Ltd. will collaborate with Novartis AG in a $1.7 billion deal to develop multiple programs to find and advance targets for treating atopic diseases caused by immune dysregulation. Novartis will pay Relation an up-front amount, an equity investment and R&D funding of $55 million. It’s the company’s second deal with big pharma in the past 12 months.
The collaboration brings together Relation’s AI-powered drug discovery platform and human data generation capabilities with Novartis’s expertise in immuno-dermatology to identify, validate and advance potential first-in-class targets in atopic diseases driven by immune dysregulation.
Relation Therapeutics Ltd. has delivered the first commercial validation of its combined wet lab/in silico platform for homing in on disease-related genes in the thick of the genome, signing two collaboration agreements with GSK plc, with a potential value of $200 million per target.
Relation Therapeutics Ltd. has delivered the first commercial validation of its combined wet lab/in silico platform for homing in on disease-related genes in the thick of the genome, signing two collaboration agreements with GSK plc, with a potential value of $200 million per target.
Relation Therapeutics Ltd. has delivered the first commercial validation of its combined wet lab/in silico platform for homing in on disease-related genes in the thick of the genome, signing two collaboration agreements with GSK plc, with a potential value of $200 million per target.
Techbio specialist Relation Therapeutics Ltd has raised $35 million in new seed funding, bringing total seed money to $60 million, as it advances development of its in silico/wet lab platform for identifying drug targets in the non-coding parts of the genome. The company is building a “lab in the loop” system where in depth ‘omics profiles of single cells from fresh patient tissues are analyzed by its machine learning engine to uncover the genetic basis of clinical phenotypes and identify novel targets.
Newco Relation Therapeutics Ltd. is showing its colors after raising $25 million in a seed round to work on integrating single cell transcriptomics, functional genomics and machine learning – and cut through previously undecipherable combinatorial space – to find and validate drug targets in the non-coding genome.
