AI drug discovery Archives - Medical Design Sourcing

Verseon’s hybrid AI platform aims to unlock a universe of drug candidates

[Bhaskar/Adobe Stock]

The clinical-stage company Verseon (Fremont, California) is unique among companies exploring the use of AI in drug discovery given its focus on what it calls the “uncharted” chemical space. While Big Pharma companies typically test compounds from their collections for specific diseases, these collections often have constraints and overlapping compounds. Adityo Prakash, CEO of Verseon, estimates that researchers have developed about seven million chemically distinct compounds globally in the past century. But compared to that figure, the number of mappable compounds based on organic synthesis principles is a staggering 10^33.

Verseon is exploring uncharted chemical space

Adityo Prakash

Prakash emphasizes that while most AI companies involved in drug discovery focus on the narrower subset contained in current libraries, Verseon has …

BenevolentAI is pioneering AI-driven drug discovery methods

“Can we treat chronic inflammation in ulcerative colitis by reversing immune cell activation in colonic mucosa?” That’s an example of a biological question that the AI-enabled drug discovery firm BenevolentAI (AMS:BAI) would ask when exploring a new drug target.

Incorporating a disease, sign, mechanism and tissue into a single question provides focal points for the company’s AI models to explore when generating target hypotheses, said Anne Phelan, chief scientific officer of Benevolent AI in a presentation at the Royal Society earlier this year.

BenevolentAI’s strategy involves a comprehensive understanding of the biological systems underlying various diseases, breaking down silos in clinical areas and tapping diverse multimodal data to discover novel therapeutic targets. For ulcerative colitis, the company’s AI models sift through vast amounts of scientific literature and data to spot promising targets and pathways that could potentially alleviate …

Using AlphaFold, Insilico Medicine produces AI drug discovery in record time

This is the AI-powered autonomous robotics lab called Life Star in Suzhou that Insilico opened in January. [Insilico Medicine]

Capitalizing on AI drug discovery, an international group of researchers employed DeepMind’s deep learning-driven AlphaFold protein structure database to swiftly design and synthesize a potential hepatocellular carcinoma (HCC) drug in only 30 days.

The AI drug discovery project consisted of Insilico Medicine, the University of Toronto’s Acceleration Consortium and researchers including Nobel laureate Michael Levitt. The team applied AlphaFold to Insilico’s end-to-end AI-powered drug discovery platform, Pharma.AI. With the integration of the biocomputational engine PandaOmics and the generative chemistry engine Chemistry42, the AI drug discovery project identified a novel treatment pathway for HCC and developed a potent inhibitor based on a predicted protein structure. Read more

Using AlphaFold, Insilico Medicine produces AI drug discovery in record time

This is the AI-powered autonomous robotics lab called Life Star in Suzhou that Insilico opened in January. [Insilico Medicine]

Capitalizing on AI drug discovery, an international group of researchers employed DeepMind’s deep learning-driven AlphaFold protein structure database to swiftly design and synthesize a potential hepatocellular carcinoma (HCC) drug in only 30 days.

The AI drug discovery project consisted of Insilico Medicine, the University of Toronto’s Acceleration Consortium and researchers including Nobel laureate Michael Levitt. The team applied AlphaFold to Insilico’s end-to-end AI-powered drug discovery platform, Pharma.AI. With the integration of the biocomputational engine PandaOmics and the generative chemistry engine Chemistry42, the AI drug discovery project identified a novel treatment pathway for HCC and developed a potent inhibitor based on a predicted protein structure. Read more