Trends

DeepMind’s new AI can predict structure of ‘all life’s molecules’

AlphaFold 3 transforms protein structure prediction, now modelling DNA, RNA, and ligands, aiding diverse scientific research fields.

AuthorCrystal Feng

Reading Time2 min

PublishedMay 9, 2024

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Headline

AlphaFold 3 transforms protein structure prediction, now modelling DNA, RNA, and ligands, aiding diverse scientific research fields.

Context

Google DeepMind is unveiling AlphaFold 3 , an improved AI model that predicts the structure of proteins and “all life’s molecules”. This advancement will aid researchers in medicine, agriculture, materials science, and drug development. Previous iterations of AlphaFold were limited to predicting protein structures. However, the latest version, AlphaFold 3, has transcended this boundary by including the ability to model DNA, RNA, and smaller molecules known as ligands, thus broadening the model’s utility for scientific research.

Evidence

Pending intelligence enrichment.

Analysis

In a media briefing, DeepMind CEO Demis Hassabis expressed that AlphaFold 2 was a significant milestone for structural biology, enabling groundbreaking research opportunities. AlphaFold 3 represents a progression in utilising AI to comprehend and simulate biological processes. DeepMind reports a 50% enhancement in prediction accuracy with the introduction of the new model compared to its predecessors. Also read: Google incorporates cybersecurity into AI plan Also read: Meta’s AI unveils full image creation for advertisers

Key Points

AlphaFold 3 has shown a 50% improvement in prediction accuracy compared to previous versions, expanding its capabilities to model DNA, RNA, and ligands.
DeepMind CEO Demis Hassabis highlighted the significant utility of AlphaFold 3 in various scientific research fields and its potential for enabling groundbreaking discoveries.
DeepMind is providing the AlphaFold Server research platform, powered by AlphaFold 3, to some researchers for generating biomolecular structure predictions at no cost, enhancing research accessibility and collaboration.