AlphaFold

Isomorphic Labs, the London-based, drug discovery-focused spin-out of Google AI R&D division DeepMind, today announced that it’s entered into strategic partnerships with two pharmaceutical giants, Eli Lilly and Novartis, to apply AI to discover new medications to treat diseases. The deals have a combined value of around $3 billion. Isomorphic will receive $45 million upfront from Eli Lilly and potentially up to $1.7 billion based on performance milestones, excluding royalties. Novartis,…

For instance, computational approaches led by the Materials Project and other groups have helped develop 28,000 new materials till date. But this is an expensive and time-consuming process, and researchers may find it difficult to develop radically different structures since they mostly work with existing materials. Recently, though, Google unit DeepMind Technologies’ AI tool, called Graph Networks for Materials Exploration (GNoME), helped create 2.2…

Dream soon to come true for biologists?Summary of the method and its relevance; trying to run it in Google Colab; and testing it out to see if it really is that good.Concept art by author and DallE2 generations.With a new round of CASP (the competition on protein structure prediction) just a month away from revealing its results, we continue to see papers about using AlphaFold 2 and AlphaFold-inspired neural networks to predict protein structures even better, faster, or with totally open-source programs; also to predict…

Harnessing the power of AI to understand how proteins foldPhoto by ANIRUDH on UnsplashI attempt to give a simple explanation of protein folding,why we might want to predict how it happens,how AlphaFold uses neural networks, a machine learning (ML) technique to solve the protein folding problem,and present a reference architecture for batch inference using Vertex AI on Google Cloud… Let’s go! ➡️🤔 What is protein folding, and why is it a hard problem?Every protein is made up of a sequence of amino acids joined together.…

The researchers behind the AlphaFold artificial-intelligence (AI) system have won one of this year’s US$3-million Breakthrough prizes—the most lucrative awards in science. Demis Hassabis and John Jumper, both at DeepMind in London, were recognized for creating the tool that has predicted the 3D structures of almost every known protein on the planet. “Few discoveries so dramatically alter a field, so rapidly,” says Mohammed AlQuraishi, a computational biologist at Columbia University in New York City. “It’s really changed…

A new era of biological research has been unlocked, with an artificial intelligence (AI) predicting the 3D shape of nearly every protein known to science – just one year after its first data release.  Thanks to AlphaFold, an AI tool developed by the Google-owned AI company DeepMind, more than 200 million protein structures have now been shared online in a free-to-access, searchable database, called AlphaFold DB.The accomplishment paves the way for untold avenues of scientific exploration into proteins, the building…

AlphaFold predicts the structure of almost every cataloged protein known to science. Credit: Karen Arnott/EMBL-EBIAI-powered predictions of the three-dimensional structures of nearly all cataloged proteins known to science have been made by DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI). The catalog is freely and openly available to the scientific community, via the AlphaFold Protein Structure Database.The two organizations hope the expanded database will continue to increase our understanding of…

The history of AI computing in recent decades follows a somewhat familiar script: brief bursts of industry-shifting breakthroughs followed by months or years of smaller incremental change with a fair share of controversy peppered in between. Today’s one of those watershed moments.Alphabet-owned Deepmind on Thursday announced it’s releasing a database of predictions for virtually every protein currently known to science, an advancement that’s expected to significantly fast-track drug development and critical advancements…

Artificial intelligence has changed the way science is done by allowing researchers to analyze the massive amounts of data modern scientific instruments generate. It can find a needle in a million haystacks of information and, using deep learning, it can learn from the data itself. AI is accelerating advances in gene hunting, medicine, drug design and the creation of organic compounds.Deep learning uses algorithms, often neural networks that are trained on large amounts of data, to extract information from new data. It is…