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"Hidden Glutathione Transferases in the Human Genome" by Aaron J. Oakley

With the development of accurate protein structure prediction algorithms, artificial intelligence (AI) has emerged as a powerful tool in the field of structural biology. AI-based algorithms have been used to analyze large amounts of protein sequence data including the human proteome, complementing experimental structure data found in resources such as the Protein Data Bank. The EBI AlphaFold Protein Structure Database (for example) contains over 230 million structures. In this study, these data have been analyzed to find all human proteins containing (or predicted to contain) the cytosolic glutathione transferase (cGST) fold. A total of 39 proteins were found, including the alpha-, mu-, pi-, sigma-, zeta- and omega-class GSTs, intracellular chloride channels, metaxins, multisynthetase complex components, elongation factor 1 complex components and others. Three broad themes emerge: cGST domains as enzymes, as chloride ion channels and as protein–protein interaction mediators. As the m ....

Protein Data Bank , Protein Data , Fold Protein Structure Database , Eukaryotic Elongation Factor 1 , Ailed Axon Connections Homolog , Anglioside Induced Differentiation Associated Protein , Lutathiones Transferasec Terminal Domain Containing Protein , Lutathione Transferase , Ntracellular Chloride Channel , Ulti Trna Synthetase Complex , Structure Prediction ,

Must read: the 100 most cited AI papers in 2022

Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of R&D teams is of course how the technology appears in products, and OpenAI shook the world by releasing ChatGPT at the end of November 2022, following fast on their March 2022 paper “T ....

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