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bair.berkeley.edu
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www.blopig.com
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| | | | | [AI summary] The article discusses the release of AlphaFold 2, a groundbreaking deep learning system for protein structure prediction. It highlights how AlphaFold 2's success is due to advanced deep learning engineering and its ability to accurately predict protein structures from sequences. The article also reflects on the implications of this achievement for academia, suggesting that it may challenge the traditional role of academic research in basic science. Additionally, it explores the potential applications of AlphaFold 2 in drug discovery, protein design, and structural biology, emphasizing the transformative impact it could have on these fields. The author concludes by acknowledging the significance of AlphaFold 2's success and the need for the acade... | |
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www.nature.com
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| | | | | There has been considerable recent progress in designing new proteins using deep-learning methods19. Despite this progress, a general deep-learning framework for protein design that enables solution of a wide range of design challenges, including de novo binder design and design of higher-order symmetric architectures, has yet to be described. Diffusion models10,11 have had considerable success in image and language generative modelling but limited success when applied to protein modelling, probably due ... | |
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thereformedbroker.com
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| | | The active versus passive investing debate is more than just conversation. It represents real people's livelihoods. | ||