Artificial Intelligence: Atomic AI Closes $35M Series ‘A’ For RNA Drug Discovery

https://dailyalts.com/wp-content/uploads/2023/01/24148252722_7c23f3ba7c_c.jpg

Atomic AI had previously raised a $7 million seed round.

Atomic AI, a biotechnology company, has developed a proprietary, AI-driven ‘Platform for AI-driven RNA Structure Exploration’ (PARSE). PARSE is a 3D RNA structure discovery engine that can vastly improve RNA structure prediction and develop a new generation of RNA-targeting medicines to tackle diseases that were previously untreatable. The company came out of stealth with a $35 million Series A round led by Playground Global, with participation from 8VC, Factory HQ, Greylock, NotBoring, AME Cloud Ventures, and renowned angel investors including GitHub ex-CEO Nat Friedman, Doug Mohr, Curai CEO Neal Khosla, and UC Berkeley professor and Arc Institute Co-founder Patrick Hsu. (Businesswire)

“To create effective and safer small molecules against undruggable diseases, there is a significant need to develop tools that can accurately predict 3D RNA structures,” said Raphael Townshend, Ph.D., Founder and CEO of Atomic AI. “Atomic AI is oriented at the cutting edge of AI, RNA, and structural biology. We are creating an entirely new field of drug discovery.” Dr. Raphael Townshend was recognized in Forbes’ 30 under 30 for Science in 2023.

Atomic AI’s technology can discover structured, ligandable RNA motifs at unprecedented speed and accuracy, a critical barrier to current approaches in small molecule drug discovery against RNA. Beyond RNA-targeted molecules, the integrated platform will also enable the design of RNA-based medicines and RNA tools.

“There are well-known RNA sequences that play a critical role in driving disease; however, current technologies lack the RNA-structure modeling capabilities necessary to create confidence in RNA-targeting drug discovery,” said Gene Yeo, Professor of Cellular and Molecular Medicine at the University of California San Diego (UCSD), an expert in RNA biology and member of Atomic AI’s advisory board. “Atomic has created a sophisticated and integrated AI engine that will transform the discovery and development of RNA-targeted medicines.”

Related Story:  Atomwise To Collaborate With Sanofi On AI-Powered Drug Discovery

Image Credit: Flickr

Free Industry News

Subscribe to our free newsletter for updates and news about alternatives investments.

  • This field is for validation purposes and should be left unchanged.


Shape

Latest Alternative Investment News

https://dailyalts.com/wp-content/uploads/2023/03/Buy-1.jpg
Digital Assets: Ledger, Maker Of Crypto Security Hardware, Raises Nearly All Of $100M Series C Round
March 31, 2023     Digital Assets, News, Venture Capital

Paris-based startup Ledger, which makes hardware wallets for cryptocurrency investors, has raised €100m ($109m) in funding, valuing the company at €1.3bn. The round was led by investors including Digital Finance…

https://dailyalts.com/wp-content/uploads/2023/03/Three-phones-dropping-v3-2021-prosumer.jpg
FinTech: Cogo And Eliq Partner To Help Banking Customers Enhance The Energy Efficiency Of Their Homes
March 31, 2023     ESG and Sustainability, FinTech, News

Cogo, a fintech which collaborates with banks to assist customers in decreasing their carbon footprint as a carbon footprint management firm, is partnering with Eliq, a company that specializes in…

https://dailyalts.com/wp-content/uploads/2023/03/steven-hwg-zBsdRTHIIm4-unsplash.jpg
Venture Capital: The LSP Dementia Fund Closes €260M (US$283M) To Address Dementia, One Of The Most Significant Health Crises Of Our Era
March 31, 2023     Latest News, News, Venture Capital

The LSP Dementia Fund has reached a final close at €260 million (US$ 283 million), surpassing its initial target of €100 million. The fund, which is managed by EQT Life…

https://dailyalts.com/wp-content/uploads/2023/03/faq26.jpg
Artificial Intelligence: The DAGGER AI Model Gives Advance Warning Of Dangerous Solar Storms
March 31, 2023     Artificial Intelligence, News

Researchers have developed an AI-based model that combines satellite data and machine learning to predict where an impending solar storm will strike on Earth, offering 30 minutes of advance warning….