Vevo Therapeutics, a biotechnology firm utilizing its Mosaic in vivo drug discovery platform and subsequent era AI fashions to uncover higher medication for extra sufferers, has launched with an oversubscribed and upsized $12 million seed financing spherical.
Wing Enterprise Capital and Common Catalyst co-led the spherical with participation from Mubadala Capital, AIX Ventures, and Camford Capital.
The corporate’s Mosaic platform is the primary to make in vivo knowledge era scalable, with single-cell precision, whereas capturing affected person variety in drug response. In a single in vivo experiment, Mosaic can measure how a drug impacts cells from a whole bunch of sufferers, producing tens of millions of datapoints on drug-induced adjustments in gene expression.
With the seed funding, Vevo will carry out hundreds of Mosaic experiments to create an in vivo atlas of how chemistry perturbs biology. Vevo’s AI fashions might be skilled on this atlas to uncover novel targets and medicines undetectable by different applied sciences.
Vevo’s platform builds on know-how developed by two of its co-founders, Hani Goodarzi, affiliate professor on the College of California, San Francisco (UCSF), and Johnny Yu, chief scientific officer of Vevo Therapeutics. The corporate holds an unique license to the know-how from UCSF’s Innovation Ventures workplace, which leads licensing and enterprise growth on behalf of the college.
Addressing key problem
“We based Vevo to deal with the important thing problem in drug discovery – that medication found in in vitro fashions are failing sufferers,” mentioned Nima Alidoust, CEO and co-founder of Vevo.
“Drug discovery is just as highly effective as the info that fuels it, and at present that knowledge is generated out of context from how illness happens in residing organisms whereas additionally failing to account for the varied mosaic of genetic backgrounds throughout sufferers – every with the potential to react in another way to anybody drug. By beginning and guiding drug discovery with high-resolution in vivo knowledge, we’re flipping the script on conventional discovery strategies.”
Regardless of being the gold customary of illness modeling, in vivo fashions are usually not scalable or exact sufficient for early-stage discovery, the corporate mentioned. Restricted to in vitro-based assays, early discovery efforts typically overlook helpful targets that might solely be detectable in vivo. Even when novel targets and medicines are present in vitro, many might be irrelevant when examined in vivo or in people.
“Most first-generation small molecule medication will work with restricted efficacy in a small variety of sufferers, with enhancements made slowly over the course of second and third era advances," mentioned Kevan Shokat, co-founder of Vevo Therapeutics and professor at UCSF.
“Our potential to check medication throughout many sufferers and generate single-cell knowledge utilizing in vivo fashions at first of drug discovery will lastly permit us to bypass generations of incremental enhancements to get higher medicines to sufferers quicker.”