10 Companies Applying AI for Biologics Discovery

by Natalia Honchar    Contributor        Biopharma insight

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.

Topics: Biotech Companies   
Share:   Share in LinkedIn  Share in Reddit  Share in X  Share in Hacker News  Share in Facebook  Send by email

When we hear “AI in drug discovery”, there is a high chance our imagination would draw a small molecule discovery in the first place. Indeed, as it was captured and analyzed in the report The Landscape of Artificial Intelligence (AI) In Pharmaceutical R&D roughly half of more than 300 analyzed AI-driven companies focus on small molecules as a therapeutic modality. This biggest category is then followed by smaller groups of biologics, biomarkers and therapies as an R&D focus. The success of small molecule discovery coupled with AI already demonstrates performance with some “AI-inspired” drug candidates entering the clinical trials, like Relay Therapeutics with their precision oncology small molecules in clinical trials for previously ‘undruggable’ targets, or Exscientia with their small molecule candidate to treat obsessive-compulsive disorder, which began human testing in a phase I trial in 2020 in collaboration with Sumitomo Dainippon Pharma.

At the same time, the number of companies using AI for biologics discovery is also continuously growing. In BiopharmaTrend report there are already 65 selected AI-driven companies focusing on biologics. 

According to the definition by FDA, biological drugs include vaccines, blood and its components, somatic cells, gene therapy, recombinant therapeutic proteins and even tissues. Some narrower examples include therapeutic antibodies for cancer treatment or even COVID-19 vaccines, but all biologics share the same composition “requirement” (sugars, proteins, nucleic acids, their combinations or living entities) and the isolation origin (humans, animals, plants, microorganisms).

RELATED: Will Biologics Surpass Small Molecules In The Pharmaceutical Race?

Below we review ten notable companies applying AI for designing biologics drugs in more detail.


AbCellera Biologics 

Canadian company AbCellera, a biotech company that develops antibody therapeutics, was founded in 2012 and closed the IPO round in the end of 2020 with $555.5M gross proceeds. 

AbCellera aims to search, decode, and analyze natural immune systems to find therapy-suitable antibodies, as well as use humanized antibody platforms to access and assess various functional modalities of the potential therapeutic molecules.

They own sequencing technologies with functional data from single B-cells, which enables researchers to increase the number of antibody candidates. Additionally, their proprietary antibody visualization software Celium helps to deal with the obtained multidimensional data.

After selecting the most promising leads by the number of various criteria, computational protein engineering can be used to optimize antibodies, while also considering the natural antibodies diversity.


Founded in 2017, Asimov is a US-based company building tools to program living cells. Their total funding reached $30M from a number of investors,summing up three funding rounds. 

Asimov owns a mammalian cell engineering platform, which can help to accelerate the design and manufacturing for biologics and gene therapies. First, computer-aided design is used along with the simulation and debugging of genetic systems. 

At the same time, ML bridges large-scale datasets with mechanistic models of biology. In general, AI assists with designing and understanding biological complexity.

Continue reading

This content available exclusively for BPT Mebmers

Topics: Biotech Companies   

Share:   Share in LinkedIn  Share in Reddit  Share in X  Share in Hacker News  Share in Facebook  Send by email

You may also be interested to read: