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AlphaFold 3: Google DeepMind launches the next generation of drug discovery AI model

May 9, 2024 | News | 0 comments

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As per the latest announcement, Google DeepMind has introduced its latest drug discovery artificial intelligence model.

Artificial Intelligence: Imagine a world where every patient receives personalised instructions for their unique needs, where doctors and scientists have access to powerful tools that can analyse data and provide real-time feedback, allowing them to adapt their treatment methods on the fly. That’s the future the tech giants are working towards, and AI is the key to unlocking it.

AlphaFold 3 predicts the structure and interactions of all of life’s molecules

Google DeepMind releases the third version of its “AlphaFold” artificial intelligence model. It is specifically developed to assist scientists in more precisely designing medications and addressing disease. In 2020, the giant used artificial intelligence (AI) to build and correctly examine the behaviour of tiny proteins, which was a significant breakthrough in molecular biology.

Researchers at DeepMind and Isomorphic Labs, led by cofounder Demis Hassabis, have mapped the behaviour of all living molecules, including human DNA, using the most recent version of AlphaFold. Protein interactions with other molecules are essential to drug discovery and development.

According to DeepMind, the discoveries published on Wednesday in the scientific journal Nature will shorten the time and cost associated with creating potentially game-changing therapies.

During a press conference on Tuesday, Hassabis stated, “With these new capabilities, we can design a molecule that will bind to a specific place on a protein, and we can predict how strongly it will bind. This is a crucial step if you want to design medications and compounds that will help with disease.”

Moving forward, it also declared the launch of the AlphaFold server,” a free web application that researchers can utilise to evaluate their theories before doing experiments in the actual world. As per reports since 2021, AlphaFold’s predictions—which are included in a database with over 200 million protein structures and are publicly accessible to non-commercial researchers—have been mentioned thousands of times in other people’s research projects.

As per DeepMind, researchers may now run experiments with just a few button clicks, requiring less computing expertise, thanks to the new server.”It’s going to be important how much easier the AlphaFold server makes it for biologists—who are experts in biology, not computer science—to test larger, more complex cases,” stated John Jumper, a senior research scientist at DeepMind.

Not only this, as a microbiology expert at the University of Birmingham, Dr Nicole Wheeler, said, “AlphaFold three could significantly speed up the drug discovery pipeline, as “physically producing and testing biological designs is a big bottleneck in biotechnology at the moment.”

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Written by Riteshu Sen Jaiswar

Chief Of Media at BIZBoost || Public Speaker || Web 3 Junkie || Passionate Writer || Gyaan Seeker

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