Google DeepMind's New AI Just Did in Minutes What Took Scientists Years
Summary
TLDRThis video delves into the revolutionary AI models AlphaFold and AlphaProto by Google DeepMind, which are transforming drug discovery and material science. AlphaFold predicts protein interactions, while AlphaProto designs new proteins, or 'binders,' that can target specific molecules, potentially aiding in disease-fighting. The video also introduces ORB, an AI model by Orbital that simulates advanced materials at the atomic level, outperforming tech giants and offering a significant leap in material design for renewable energy.
Takeaways
- đŹ AlphaFold and AlphaProto are AI models revolutionizing protein interaction prediction and creation.
- đĄïž AlphaProto by Google DeepMind can design new proteins, or 'binders', that can bind to specific target molecules.
- đ These designed proteins have the potential to accelerate drug discovery and understand disease mechanisms.
- đ AlphaProto's binders showed 3 to 300 times better binding strengths compared to traditional methods in lab tests.
- đŠ Successful binders were created for targets like cancer-related proteins and the SARS-CoV-2 virus spike protein.
- đ AlphaProto's design for the SARS-CoV-2 spike protein could help in virus prevention by blocking infection.
- đŹ The AI system is trained on extensive protein data, including structures from the Protein Data Bank and AlphaFold.
- đ Collaborations with global scientists are ongoing to enhance the system's capabilities and ensure responsible use.
- đ AlphaProto is also exploring applications in drug design and improving algorithms for versatility.
- đĄ ORB is an AI model for simulating advanced materials, offering significant speed and accuracy improvements over existing models.
- đ ORB is open-source, allowing non-commercial users to access its advanced material simulation capabilities for free.
Q & A
What is the primary function of proteins in our bodies?
-Proteins serve as the workhorses of our bodies, performing a wide range of functions from aiding in cell growth to maintaining the smooth operation of our immune systems, and are central to nearly every biological process.
How do proteins interact with each other?
-Proteins interact with each other by binding, similar to a key fitting into a lock, which allows for the execution of critical functions within our cells.
What is AlphaFold and what does it do?
-AlphaFold is an AI model that predicts how proteins interact with each other, providing a solid understanding of their binding interactions, which has been significant for scientific research.
How does AlphaProto differ from AlphaFold?
-While AlphaFold is adept at predicting protein interactions, AlphaProto goes a step further by designing entirely new proteins that can bind to specific target molecules.
What are the potential applications of AlphaProto's designed proteins?
-AlphaProto's designed proteins, also known as binders, can accelerate research in drug discovery, disease understanding, and enhancing crop resistance to pests.
How does AlphaProto create a protein that binds to a target?
-AlphaProto uses its training on extensive protein data to design a binder protein that fits a target almost perfectly, given the structure of the target protein.
What was the success rate of AlphaProto's binders in lab tests?
-AlphaProto's binders demonstrated a success rate of 3 to 300 times better binding strengths compared to existing methods, with 88% of candidate binders successfully binding to the bhrf1 protein in lab tests.
How does AlphaProto contribute to the fight against diseases like COVID-19?
-AlphaProto has designed binders for the SARS-CoV-2 Spike protein, which were confirmed by research groups to block the virus and some of its variants from infecting cells, potentially aiding in virus prevention.
What is ORB and how does it relate to material science?
-ORB is an AI model designed to simulate materials at the atomic level more quickly and accurately than existing alternatives, significantly advancing material science research.
Why is ORB's open-source availability significant for the scientific community?
-ORB's open-source availability allows for non-commercial use by startups and researchers, enabling faster development of new materials crucial for renewable energy and technological advancements.
How does ORB compare to other AI models in terms of speed and accuracy?
-ORB outperforms both Google's and Microsoft's models, being five times faster for large-scale simulations and more accurate, making it a leading tool in material simulations.
Outlines
𧏠Alpha Proteo: Revolutionizing Protein Design
The first paragraph introduces two AI models, Alpha Fold and Alpha Proto, which are transforming drug discovery and material science. Alpha Fold is lauded for its ability to predict protein interactions, a critical aspect of biological processes. However, it falls short in creating new proteins. Alpha Proto, developed by Google DeepMind, not only predicts these interactions but also designs new proteins, known as binders, that can bind to specific target molecules. This innovation accelerates research in drug discovery, disease understanding, and crop resistance. Traditional protein binder creation is a slow, iterative process of trial and error. In contrast, Alpha Proto offers a significant shortcut by utilizing a vast dataset from the Protein Data Bank and Alpha Fold's predicted structures. It designs binders that fit target proteins with remarkable precision. The AI's binders have shown impressive binding strengths, outperforming existing methods by 3 to 300 times. Notable successes include binders for cancer-related proteins and the SARS-CoV-2 virus, with some even blocking virus infection. Despite challenges with certain proteins like TNFA, the model is actively being improved in collaboration with global scientists, emphasizing responsible biotechnology use.
đŹ ORB: The Frontier of AI in Material Science
The second paragraph discusses ORB, an AI model developed by Orbital that simulates advanced materials at the atomic level with unprecedented speed and accuracy. ORB is a significant leap forward in material science, outperforming both Google's and Microsoft's models in large-scale simulations. It is based on an extensive AI model called Linus, which has been fine-tuned for material simulations. ORB's open-source nature makes it accessible for non-commercial uses, fostering innovation in material development for renewable energy technologies like electric car batteries and solar panels. The model's speed and accuracy are crucial for the energy transition, as it accelerates the design and realization of more efficient materials. The paragraph also highlights the importance of responsible development and the collaboration between experts in various fields to harness ORB's potential. The team behind ORB, despite being a small startup, has made a significant impact in the AI and tech industry, showcasing the potential for innovation outside of large tech giants.
Mindmap
Keywords
đĄAI Models
đĄProteins
đĄAlphaFold
đĄAlphaProto
đĄBinders
đĄDrug Discovery
đĄMaterial Science
đĄORB
đĄBioengineering
đĄBiocurity
Highlights
AI models AlphaFold and AlphaProto are revolutionizing drug discovery and material science.
Proteins are essential for various biological processes, including cell growth and immune system function.
AlphaFold predicts protein interactions, a significant advancement for scientific research.
AlphaProto goes beyond prediction by designing new proteins that can bind to specific target molecules.
Designed proteins, or binders, have potential applications in drug discovery, disease research, and crop resistance.
Traditional protein binder creation is a slow and iterative process.
AlphaProto offers a major shortcut by designing binder proteins that fit target proteins almost perfectly.
AlphaProto's designed binders have shown 3 to 300 times better binding strengths than existing methods.
AI-designed protein binders successfully bind to target proteins like VGFA and bhrf1.
AlphaProto binders block the SARS-CoV-2 Spike protein, potentially aiding in virus prevention.
AlphaProto faced challenges with designing a successful binder for the difficult tnfa protein.
The team behind AlphaProto is working on improving the system and considering biosecurity.
Orb, an AI model by Orbital, is a breakthrough in simulating advanced materials.
Orb is five times faster than the best alternatives for large-scale material simulations.
Orb is open-sourced for non-commercial use, making advanced material simulation accessible.
Orb's speed and accuracy can accelerate the development of renewable energy materials.
Orb is the result of fine-tuning a larger AI model called Linus by Orbital.
Orb's development showcases how a small, motivated team can compete with major tech giants.
Transcripts
[Music]
what if AI could not only predict how
proteins interact but actually create
new ones to fight diseases like c19 or
cancer in this video we're exploring two
groundbreaking AI models Alpha poo and
orb that are reshaping everything from
drug Discovery to Material Science and
before we get started take a second to
subscribe and stay ahead of the curve on
all the latest AI Trends and updates all
right you know how proteins are like the
workhorses of our bodies right they do
everything from helping our cells grow
to keeping our immune systems running
smoothly and of course they're at the
core of pretty much every biological
process but here's the catch these
proteins don't just do their jobs in
isolation they interact with other
proteins think of it like a key fitting
into a lock one protein binds to another
and that's how all these critical
functions happen inside our cells now
thanks to things like Alpha fold we
already have a pretty solid
understanding of how proteins interact
Alpha fold helps us predict what these
interactions look like which has been
huge for science but here's the kicker
while Alpha fold is awesome at figuring
out how proteins connect it doesn't
create new proteins that could
manipulate or influence these
interactions and that's where the real
magic comes in guys enter Alpha proteo
by Google Deep Mind this is the new AI
system we're talking about today it
doesn't just predict interactions it
designs entirely new proteins that can
bind to specific Target molecules and
why is that important well these
designed proteins also called binders
can speed up all sorts of research from
drug Discovery to figuring out how
diseases work to making crops more
resistant to pests now let's break this
down when you want to create a protein
that binds tightly to a Target like say
a virus protein that causes c19 it's not
easy traditional methods are super slow
you have to create binders in the lab
test them optimize them then test them
again it's like an endless cycle of
trial and error which as you can guess
takes forever but with Alpha Proto we're
talking about a major shortcut this AI
system has been trained on a ton of
protein data we're talking about data
from the protein data bank and more than
100 million predicted structures from
alpha fold so yeah it's learned a thing
or two about how proteins interact now
if you give Alpha proteo the structure
of a Target protein and tell it where
you want the protein to bind it can
design a binder protein that fits that
Target almost perfect perfectly that's
like handing it the blueprint for a lock
and having it design the perfect key and
it works on all kinds of proteins cancer
related proteins proteins from viruses
like SARS COV 2 yes the one involved in
the lockdown era the c19 and even
proteins tied to autoimmune diseases so
far the results are pretty mindblowing
in fact Alpha proteo generated binders
for seven different Target proteins and
here's the kicker they tested these
proteins in the lab and the AI designed
binders worked like a charm I'm talking
about 3 to 300 times better binding
strengths than the best existing methods
insane right for example let's take V
GFA which is a protein linked to cancer
and diabetes complications for the first
time ever an AI system Alpha poo
designed a protein binder that
successfully binds to V GFA that alone
is a huge milestone and it's not just
oneoff successes let's take another
protein be bhrf1 which is a viral
protein in the lab 88% of alpha proteo
candidate binders actually bound to
bhrf1 successfully and get this Alpha
proteo binders on average are binding 10
times stronger than any of the current
best designs now one of the most hyped
targets was the SARS c 2 Spike protein
the very same Spike that helps the virus
get into our cells and yeah Alpha Proto
nailed it not only did it design binders
for this Spike protein but those binders
were tested by some top research groups
like The Francis cric Institute and they
confirmed the binders were legit these
binders even managed to block the virus
and some of its variants from infecting
cells so we're looking at something that
could potentially help in virus
prevention now obviously this Tech isn't
perfect yet for example Alpha proteo
couldn't design a successful binder for
tnfa which is a protein associated with
autoimmune diseases like rheumatoid
arthritis but to be fair tnfa is known
to be a beast in terms of difficulty the
team picked it on purpose to test the
limits of the system so it's not all bad
news in fact it's a sign that they're
pushing the system to improve and while
strong binding is critical it's just the
first step in using these proteins for
real world applications like drug design
there's still a ton of bioengineering
work to do but Alpha proteo has already
knocked out one of the toughest parts
now the team behind Alpha Proto is
working with Scientists across the world
to make this system even better and
they're thinking responsibly about
biocurity that means making sure this
powerful Tech is used for good like
developing treatments and cleaning the
environment rather than you know any
Shady stuff and if you're wondering
where this is going well they've already
teamed up with groups like The Nuclear
threat initiative to set up best
practices so the tech is evolving but
with caution which is honestly a relief
looking ahead they're also exploring
drug design applications with a company
called isomorphic labs and they're
actively working on improving the
algorithms to make the system even
stronger and more versatile and they're
not just doing this in a vacuum they're
collaborating with experts in machine
learning biochemistry and structural
biology so the future of protein design
yeah it's looking pretty exciting all
right now there is another thing I'm
seriously hyped about and it's actually
a massive breakthrough in Ai and
Material Science we're talking about orb
the latest and greatest AI model for
simulating Advanced Materials it's open
source course it's blazing fast and it's
leaving Big names like Google and
Microsoft in the dust if you're into AI
energy or just Cutting Edge Tech you're
going to love this so let me break it
down for you imagine you're a scientist
working on materials for say better
batteries or solar panels things that
are crucial for the energy transition
right well here's the thing to design
these super efficient materials you need
to know exactly what's happening at the
atomic level we're talking about how
atoms and molecules are interacting what
makes certain materials conduct energy
better or how you can tweak them to be
more efficient but and this is the
tricky part actually seeing or
simulating what's happening inside these
materials is insanely hard traditional
methods for simulating this stuff
they're slow costly and often involves
simplifying things so much that you're
not even getting an accurate picture
it's like trying to watch a 4K movie on
dialup Internet it's just not happening
and that's where AI comes in giving us a
new way to look at these materials with
way more detail without waiting forever
this brings us to orb the model we're
talking about today built by a company
called orbital orb is designed to
simulate materials at the atomic level
faster and more accurately than anything
else out there right now and get this
it's based on a bigger AI model they've
been working on internally called Linus
so basically they've been fine-tuning
this thing for a while now and it's
paying off in a huge way now orb isn't
just faster than the competition I it's
five times faster than the best
alternatives for large scale simulations
that's a huge leap forward and we're not
just talking about beating random models
either orb is outperforming Google's and
Microsoft models when it comes to
accuracy and speed and here's where
things get even more exciting they've
open sourced it yep it's free for
non-commercial uses in startups so
anyone looking to develop new materials
can jump in and use this Tech you can
even go to their GitHub right now and
check out the full technical breakdown
now now let me pause here for a second
to explain why this is so important
we're in the middle of a massive shift
toward renewable energy and materials
are at the heart of that whether it's
batteries for electric cars solar panels
for homes or semiconductors for
basically all of our Tech the materials
we use need to get better more efficient
longer lasting you name it and the
faster we can simulate and design these
materials the faster we can make them a
reality orb is a tool that's going to
accelerate that process in a big way
now if you're wondering how orb came to
be it all ties back to this Foundation
model I mentioned earlier lonus the team
at orbital has been training and
refining Linus from the ground up orb is
like Linus on steroids specifically
fine-tuned for advanced material
simulations they've got a whole blog
explaining the key elements if you want
to dive into the technical side and
they've got even more info coming soon
so yeah this isn't some random new AI
model it's been a long time coming and
can we just take a second to appreciate
the team behind this this isn't some
massive Tech Giant with endless
resources we're talking about a small
tight-knit group that's competing with
the biggest names in AI Google Microsoft
and so on it's proof that even in an era
where it seems like only the Giants can
make big moves a scrappy motivated
startup can still come out on top so
there you have it orb the fastest and
most accurate AI model for advanced
material simulations is out there and
it's free to use for non-commercial
purposes I can't wait to see see where
this goes as always drop your thoughts
in the comments are you as excited about
this as I am smash that like button and
don't forget to subscribe for more deep
dives into Ai and Tech thanks for
watching and I'll see you in the next
one
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