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kidger.site
| | 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 ...
| | deepmind.google
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| | Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique...
| | bair.berkeley.edu
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| | teddykoker.com
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| In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.