How Atomwise uses artificial intelligence for drug discovery
Founded in 2012, the company claims to have been the first to create conventional neural networks (the subset of machine learning that looks to the human brain for inspiration) for drug discovery.
Describing its team as a mixture of chemists, biologists and machine learning experts, the company’s AtomNet is a deep learning neural network used for “binding affinity prediction” for small molecules, a key part of the drug discovery process.
It says this technology has improved hit rates by up to 10,000 times, delivering results 100 times faster than conventional screening. AtomNet itself is capable of screening over 100 million compounds per day.
Its partners include the likes of Merck, Bayer and Hansoh Pharma, while previous accomplishments include the development of a new treatment for multiple sclerosis and a drug candidate for the Ebola virus.
The company a $123mn Series B funding round. Its largest round yet, the funds bring its total capital raised to almost $175mn. The latest round was led by B Capital Group and Sanabil, with support from heavy hitters including Tencent, Y Combinator and DCVC.
In , Abraham Heifets, CEO and co-founder of Atomwise said: “Over the past three years, our platform AtomNet® has tackled — and succeeded — in finding small molecule hits for more undruggable targets than any other AI drug discovery platform. With support from our new and existing investment partners, we will be able to leverage this to develop our own pipeline of small molecule drug programs, further grow our portfolio of joint-venture investments, and realize our vision to create better medicines that can improve the lives of billions of people.”
The company said the financing would enable further scaling of its AI-driven portfolio, as well as expand its involvement with major pharmaceutical corporate partners - with $5.5bn in deals signed so far.
Searching for the Top 100 Leaders in Technology
The search is on for the Top 100 Leaders in Technology 2021 – nominated by readers of Technology magazine and open to all.
The initiative has been launched and nominations are now open, with the final, prestigious Top 100 due to be announced during Technology and AI LIVE running 14-16 September, beamed from London to the world.
This latest, definitive list of the leading executives and influencers in the industry will be announced at the event and shared across social media channels, this website, and presented in a special supplement that honours all of those named in our annual list.
The Top 100 Leaders follows on from the well-received Top 100 Women in Technology that BizClik Media Group (BMG) – publishers of Technology magazine, AI magazine and a growing portfolio of industry-leading titles – produced in March this year to coincide with International Women’s Day.
“The Top 100 Women recognised the incredible and influential women driving our industry,” says Scott Birch, editorial director, BMG. “The success of that initiative encouraged us to recognise the Top 100 Leaders – individuals championing everything that we love about technology and embracing best practice that’s good for business.”
Nominations are already coming in, with some notable highlights including:
Rhonda Vetere - Herbalife
Bryan Smith - Expedient
Nominate your Top 100 Leader HERE
The deadline for nominations closes on Sunday 1 August 2021, and it is free to nominate. The Top 100 Leaders will be announced across our platforms and at the LIVE event.