Beyond speed: The value of a computational approach to drug discovery

Jun 2, 2020 | Blog | 0 comments

Daniel Gigante

We recently held an event with BioIDEA: Biotech vs COVID-19. During the event, our CEO, Andrew Satz, was asked the value of computational drug discovery beyond just speed. Andrew explained 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.

In addition to speed, computational technologies can aid in de-risking by creating models or simulations of lab outcomes. This leads to computer failure instead of lab failure, or, de-risking of the drug discovery and development process. Because of this decreased risk, we should expect a significant reduction in cost. This is beneficial for companies, but more importantly, it increases availability and reduces financial hardship for those in need of healing. Watch the clip below.


Submit a Comment

Your email address will not be published. Required fields are marked *

Large Pharma’s Embrace of Artificial Intelligence

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.

The depth, vision and progress of EVQLV

Our CEO, Andrew Satz, recently spoke at Columbia University School of General Studies’ “Alumni in Action.” The subject of his talk was artificial intelligence. One of the questions posed to Andrew was what we were doing outside of coronavirus, along with the long term plans of our company

EVQLV Applies Proprietary AI Technology in Collaboration with Twist Bioscience to Discover and Validate Novel Antibody Therapies

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.

EVQLV’s Evolutionary Algorithm Explained

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.

Andrew Satz on the Talent Finders Podcast

EVQLV’s CEO, Andrew Satz, joined Kerrin Black of the Talent Finders Podcast to discuss his entrepreneurial journey, some of the challenges facing AI for drug discovery, his legacy and much more.

Pin It on Pinterest