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Opportunity, DeepMind has given a three-dimensional structure to proteins, which promises a great help for the design of medicines and drugs

DeepMind has given 3-D structure to 350,000 proteins, including every one made by humans, promising a boon for medicine and drug design.

Lesson learned, DeepMind is making a significant contribution to humanity’s understanding of biology

On Thursday, DeepMind released the predicted shapes of more than 350,000 proteins — the microscopic mechanisms that drive the behavior of bacteria, viruses, the human body and all other living things.
This new database includes the three-dimensional structures for all proteins expressed by the human genome, as well as those for proteins that appear in 20 other organisms, including the mouse, the fruit fly and the E. coli bacterium.

Lesson learned, A potential revolution in health and materials

This vast and detailed biological map — which provides roughly 250,000 shapes that were previously unknown — may accelerate the ability to understand diseases, develop new medicines and repurpose existing drugs.
It may also lead to new kinds of biological tools, like an enzyme that efficiently breaks down plastic bottles and converts them into materials that are easily reused and recycled.

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CONTEXT the Golden Knowledge Path ("GKPath") digital highway

"genioux facts", the online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) to accelerate everyone's success in the digital age.

The inverted mini pyramid of knowledge that is essential to travel on the Golden Knowledge Path ("GKPath") highway.

g-f(2)256 The Big Picture of the Digital Age (5/2/2021), geniouxfacts, The fundamental knowledge mini-pyramid for traveling on the "GKPath" highway.

g-f(2)261 The Big Picture of the Digital Age (5/5/2021), geniouxfacts, You are unique. Grow without limits in the digital age.
g-f(2)257 The Big Picture of the Digital Age (5/3/2021), geniouxfacts, At any moment you take the fastest path (GKPath) to your greatness.
g-f(2)254 The Big Picture of the Digital Age (5/1/2021), geniouxfacts, The Golden Knowledge Path (GKPath) to accelerate everyone's success.
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The big picture of the digital age
Opportunities those travelling at high speed on GKPath

Opportunity, DeepMind has given a three-dimensional structure to proteins, which promises a great help for the design of medicines and drugs

DeepMind has given 3-D structure to 350,000 proteins, including every one made by humans, promising a boon for medicine and drug design.

Lesson learned, DeepMind is making a significant contribution to humanity’s understanding of biology

On Thursday, DeepMind released the predicted shapes of more than 350,000 proteins — the microscopic mechanisms that drive the behavior of bacteria, viruses, the human body and all other living things.
This new database includes the three-dimensional structures for all proteins expressed by the human genome, as well as those for proteins that appear in 20 other organisms, including the mouse, the fruit fly and the E. coli bacterium.

Lesson learned, A potential revolution in health and materials

This vast and detailed biological map — which provides roughly 250,000 shapes that were previously unknown — may accelerate the ability to understand diseases, develop new medicines and repurpose existing drugs.
It may also lead to new kinds of biological tools, like an enzyme that efficiently breaks down plastic bottles and converts them into materials that are easily reused and recycled.

Category 2: The Big Picture of the Digital Age

[genioux fact deduced or extracted from NYTimes]

This is a “genioux fact fast solution.”

Tag Opportunities those travelling at high speed on GKPath

Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).

Type of validity of the "genioux fact".

Inherited from sources + Supported by the knowledge of one or more experts.

Authors of the genioux fact

Fernando Machuca

References

A.I. Predicts the Shapes of Molecules to Come, Cade Metz, July 22, 2021, The New York Times, NYTimes.

ABOUT THE AUTHORS

Cade Metz

Cade Metz (@CadeMetz) is a technology correspondent with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Previously, he was a senior staff writer with Wired magazine. He recently signed with Penguin Dutton in the United States and Random House in the United Kingdom to write a non-fiction narrative about the tiny clan of A.I visionaries who are rapidly changing our world.