Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets
Comparing and contrasting structural ensembles of different protein variants helps connect specific structural features to a protein’s biochemical properties. Here, the authors propose DiffNets, a self-supervised, deep learning method that streamlines this process.
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Auteurs principaux: | Michael D. Ward, Maxwell I. Zimmerman, Artur Meller, Moses Chung, S. J. Swamidass, Gregory R. Bowman |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/13c6be6650f24dc28b6a7660d1256cac |
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