DeepMind’s AI predicts new wave of scientific discoveries

DeepMind’s AI predicts new wave of scientific discoveries

Alphabet’s artificial-intelligence research unit, DeepMind, has predicted a “new wave of scientific discoveries” after unveiling a trove of 200 million free-to-access models of microscopic protein structures. DeepMind, which began life as a startup in London before Google (now Alphabet) bought it in 2014, says it has used its AI program AlphaFold to predict the 3D structures for almost all catalogued proteins known to science.

The ability to accurately predict protein structures could have a major impact on drug discovery and development, as well as on the understanding of how proteins function.

DeepMind says its AlphaFold program can predict the 3D structures of proteins with an accuracy of up to 87 percent.

The company has made its prediction models available to the scientific community through a partnership with the Protein Data Bank, a repository of protein structures.

In a blog post, DeepMind says its models could help scientists to “design new proteins with desired properties, develop new drugs and understand the root causes of many diseases.”

DeepMind’s chief executive, Demis Hassabis, said the company’s aim was to “use AI for scientific discovery, with the ultimate goal of improving human health.”

Hassabis said DeepMind would continue to work with the scientific community to “advance protein science and improve our ability to tackle some of the world’s most pressing challenges in health and sustainability.

Source: Business Insider

This article was created by Artificial Intelligence

Published byValentin Saitarli
Valentin Saitarli is a highly experienced Managing & Creative Director with a proven track record of success in the industry. With 15 years of experience and a Magna Cum Laude degree from Columbia University, Saitarli has held senior positions at some of the world's leading companies, including Apple, Uber, Infosys Consulting, and Pernod Ricard. Throughout his career, Saitarli has demonstrated his expertise in sales and marketing strategy, research, content development, and media publications. In addition, he has expanded his skillset through studies in AI and computer vision product development at MIT and has developed multiple successful products, such as and SP Tech. Saitarli currently serves as a profiling editor and reporter for
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