The collaboration fuses EVQLV’s expertise in AI-enabled antibody design & Manhattan BioSolutions’ expertise in antibody development in oncology
The benefits of computational drug development are well known and accepted by many in the pharmaceutical space. However, since the onset of the global pandemic, consensus went from it being an interesting concept that was almost certainly the future, to something we need implemented as soon as possible. This is one of the few silver linings of the coronavirus outbreak.
Seeking Alpha recently covered our work with Twist Bioscience on novel antibody discovery.
EVQLV, Inc., an artificial intelligence-enabled technology company accelerating biologics discovery, announced today a collaboration with Twist Bioscience Corporation (NASDAQ: TWST), a company enabling customers to succeed through its offering of high-quality synthetic DNA using its silicon platform, to discover novel antibody-based therapies.
Brett Averso (CTO, EVQLV) and Bhoomika Kumar (SciTech intern, EVQLV) teamed up to provide a high-level overview of how EVQLV’s evolutionary algorithm works.
Our CEO was recently asked how far away is fully computational drug discovery and development. This isn’t an easy question to answer and Andrew doesn’t provide an exact date. However, he does provide interesting insight into the progress we’ve made and the challenges ahead.
EVQLV CEO, Andrew Satz, explains that while speed is important, it can also be dangerous, and is certainly not the only reason we’ve chosen a computational approach to drug discovery.