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Alphafold2 protein structure prediction : Implications for drug discovery (Record no. 2264)

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Personal name Borkakoti, Neera
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9 (RLIN) 2812
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Title Alphafold2 protein structure prediction : Implications for drug discovery
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Date of publication, distribution, etc. 2023-01-06.
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General note /pmc/articles/PMC7614146/
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General note /pubmed/36621153
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Summary, etc. The drug discovery process involves designing compounds to selectively interact with their targets. The majority of therapeutic targets for low molecular weight (small molecule) drugs are proteins. The outstanding accuracy with which recent artificial intelligence methods compile the three dimensional structure of proteins has made protein targets more accessible to the drug design process. Here we present our perspective of the significance of accurate protein structure prediction on various stages of the small molecule drug discovery life cycle focusing on current capabilities and assessing how further evolution of such predictive procedures can have a more decisive impact in the discovery of new medicines.
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Terms governing use and reproduction
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Language note en
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Topical term or geographic name as entry element Article
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Genre/form data or focus term Text
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Personal name Thornton, Janet M.
Relator term author
9 (RLIN) 2813
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Note Curr Opin Struct Biol
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Uniform Resource Identifier <a href="http://dx.doi.org/10.1016/j.sbi.2022.102526">http://dx.doi.org/10.1016/j.sbi.2022.102526</a>
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