Nature Communications (Feb 2022)

PyUUL provides an interface between biological structures and deep learning algorithms

  • Gabriele Orlando,
  • Daniele Raimondi,
  • Ramon Duran-Romaña,
  • Yves Moreau,
  • Joost Schymkowitz,
  • Frederic Rousseau

DOI
https://doi.org/10.1038/s41467-022-28327-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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While artificial intelligence (AI) is quickly becoming ubiquitous, biology still suffers from the lack of interfaces connecting biological structures and modern AI methods. Here, the authors report PyUUL, a library to translate biological structures into 3D differentiable tensorial representations.