Seeking Alpha Covers Our Collaboration with Twist Bioscience

Jul 9, 2020 | News | 0 comments

Daniel Gigante

Seeking Alpha recently covered our work with Twist Bioscience on novel antibody discovery. Take a look below.

Using an amino acid sequence as an input, EVQLV applies its proprietary AI-generated model of evolution. The model uses billions of public and proprietary data points, including sequence, structure, and biophysical properties to learn the patterns of human antibody formation against the target. This generates variants on a scale of 1-2 million per antibody chain in a process that takes less than 6 hours, a process that can take months in the laboratory.

Under the terms of the partnership, EVQLV will employ its proprietary algorithms to computationally generate and rapidly screen a large set of diverse antibody candidates to a specific target. It will then submit the sequences of high-potential antibodies to Twist who will use its synthetic DNA platform for molecular synthesis, antibody expression and functional analysis.

Check out the piece from Seeking Alpha here.

0 Comments

Submit a Comment

Your email address will not be published.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

EVQLV and Manhattan BioSolutions Enter into Strategic Collaboration to Discover Novel Antibody-Based Therapies

The collaboration fuses EVQLV’s expertise in AI-enabled antibody design & Manhattan BioSolutions’ expertise in antibody development in oncology

Demystifying AI In Pharma

Examining AI as automated, assistive, analytical, accelerated, or augmented intelligence is a framework for thinking about how to apply these tools to data in ways that are aligned with an organization’s goals. This framework is designed to allow those who do not routinely build or employ AI to avoid the overhyped rhetoric of AI and consider the practical outcomes of employing it.

Andrew Satz on the Amplifying Scientific Innovation Podcast with Dr. Sophia Ononye-Onyia

EVQLV CEO, Andrew Satz, recently joined the Amplifying Scientific Innovation podcast with Dr. Sophia Ononye-Onyia. They discussed his definition of scientific innovation, personal anecdotes of his CEO journey and EVQLV’s unique approach to scientific innovation through the acceleration of biologic therapies with the power of artificial intelligence (A.I.).

How Our Algorithm Models the Drug Discovery Process

Our CEO, Andrew Satz, recently spoked at “Alumni in Conversation,” hosted by Columbia University School of General Studies. During the discussion, Andrew explained how EVQLV’s algorithm models the drug discovery process.

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.

Pin It on Pinterest