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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Research article (Nature Methods, 2019) · cited 825× · AI/ML
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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Summary

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning is a scholarly article[1].

Key Facts

  • Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning's instance of is recorded as scholarly article[2].

Related Entities

Emanuele Rodolà Michael Bronstein

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/deciphering-interaction-fingerprints-from-protein-molecular-surfaces-using-geometric-deep-learning
MLA “Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deciphering-interaction-fingerprints-from-protein-molecular-surfaces-using-geometric-deep-learning.
BibTeX @misc{4ortxyz_deciphering-interaction-fingerprints-from-protein-molecular-surfaces-using-geometric-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/deciphering-interaction-fingerprints-from-protein-molecular-surfaces-using-geometric-deep-learning}, note = {Accessed: 2026-05-24}}
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