DeepMind discovers nearly all protein structures in major scientific breakthrough

UK-based AI laboratory DeepMind has uncovered the predicted structures for nearly all catalogued proteins known to science.

The organisation, which is a subsidiary of Google-owner Alphabet Inc., has developed an AI system called AlphaFold which predicts a protein’s 3D shape from its amino acid sequence.

Proteins underpin every biological process in living things and because their shapes are closely linked with their functions, identifying their structures can reveal a greater understanding of what they do and how they work.

This knowledge can be used to address real-world problems like plastic pollution and antibiotic resistance.

A year ago the British company released and open sourced AlphaFold, creating a database for discovered proteins at the same time.

In partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), DeepMind is releasing the predicted structures of almost all protein structures known to exist, meaning the database, which has been accessed by over half a million researchers in the past 12 months, will be expanded by more than 200x - from nearly one million structures to over 200 million.

DeepMind claims that its latest breakthrough could dramatically widen our understanding of biology.

"AlphaFold is the singular and momentous advance in life science that demonstrates the power of AI,” said Eric Topol, founder and director, Scripps Research Translational institute. “Determining the 3D structure of a protein used to take many months or years, it now takes seconds.”

He continued: “AlphaFold has already accelerated and enabled massive discoveries, including cracking the structure of the nuclear pore complex. And with this new addition of structures illuminating nearly the entire protein universe, we can expect more biological mysteries to be solved each day."

    Share Story:

Recent Stories


Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.

Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.