The Brief - Issue #4

AI & the next frontier of drug discovery šŸ’Š

Hello February! Punxsutawney Phil predicted an early spring! 🌱 While AI might replace many things, we hope this adorable groundhog doesn’t lose its job to AI.

The markets loved Meta last week with the stock seeing a 20% rise in a single day 🤯. Zuckerberg shared during an earnings call that the company plans to invest heavily in its virtual reality and AI products.

DEVELOPMENTS
AI Developments in the past week

FUNDING
Funding in the past week

For a list of all the companies that have raised funding in the past 3 months, check out our funding database! The password is EITreaders

If you’d like to share the database with your friends, share this link: https://www.execsintech.com/funding-database

INDUSTRY AT A GLANCE
The next frontier of drug discovery šŸ’Š

AI is being used to dream up new drugs and generate pharma R&D insights by devouring data that would have previously taken teams of scientists decades to comb through. Here’s a few hot companies building exciting therapeutic solutions using AI:

  • Aqemia, who just raised a $32.5 million Series A this year, is scaling the drug delivery process by combining quantum-inspired physics and machine learning. Their unique algorithm can predict whether a drug candidate will activate against a therapeutic target 10,000 times faster than the best-in-class competition.

  • Unnatural Products is a drug discovery platform that’s using AI to engineer synthetic macrocycles that mimic natural macrocycles. Macrocycles are molecules that are common in nature, and can be successful in binding to a vast number of targets in disease pathways that require a large molecule inside of a cell (which is otherwise difficult to manage for various reasons). Unnatural Products raised a $32 million Series A this year.

  • Inductive Bio was in stealth until December of last year, emerging with $4.3 million in seed funding in a round co-led by a16z Bio + Health and Lux Capital. Inductive's platform uses ML and a proprietary database to map the drivers of key small molecule properties to help scientists optimize initial compounds into leads and drug development candidates faster and at much lower cost.

  • Genesis Therapeutics closed an oversubscribed $200 million Series B last August, and is also using AI to accelerate and optimize small molecule drug discovery. Using a mix of machine learning, molecular simulation (3D models to simulate binding dynamics), and molecular generation, the Genesis platform can predict a full range of critical chemical properties. Genesis raised $200 million in funding co-led by a16z and an unnamed investor. Interestingly, a16z General Partner Vijay Pande -- who previously spent 16 years as a Stanford professor and chaired Stanford's Biophysics Program -- headed up the lab where Genesis was created.

  • Generate Biomedicines is using AI to understand the foundational principles of protein structure and function to generate novel proteins across all protein modalities, including antibodies, peptides, enzymes and cell and gene therapy. The company claims their model can help make proteins truly programmable, and is akin to ā€œlearning how to ā€˜write’ in the mysterious language of proteinsā€. Generate has raised $693 million to date, including a $273 million Series C last September.

See you next week! If you’ve liked what you’ve read so far, do us a solid and share this with your friends 🌟