Corpus ID: 221785486

Learning from Protein Structure with Geometric Vector Perceptrons

  title={Learning from Protein Structure with Geometric Vector Perceptrons},
  author={Bowen Jing and Stephan Eismann and Patricia Suriana and Raphael J. L. Townshend and Ron O. Dror},
  • Bowen Jing, Stephan Eismann, +2 authors Ron O. Dror
  • Published 2020
  • Computer Science, Biology, Mathematics
  • ArXiv
  • Learning on 3D structures of large biomolecules is emerging as a distinct area in machine learning, but there has yet to emerge a unifying network architecture that simultaneously leverages the graph-structured and geometric aspects of the problem domain. To address this gap, we introduce geometric vector perceptrons, which extend standard dense layers to operate on collections of Euclidean vectors. Graph neural networks equipped with such layers are able to perform both geometric and… CONTINUE READING

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