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Targeting protein–ligand neosurfaces with a generalizable deep learning tool

Research article (Nature, 2025) · cited 62× · AI/ML
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Targeting protein–ligand neosurfaces with a generalizable deep learning tool

Summary

Targeting protein–ligand neosurfaces with a generalizable deep learning tool is a scholarly article[1].

Key Facts

  • Targeting protein–ligand neosurfaces with a generalizable deep learning tool's instance of is recorded as scholarly article[2].

Related Entities

Michael Bronstein

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Targeting protein–ligand neosurfaces with a generalizable deep learning tool. Retrieved May 24, 2026, from https://4ort.xyz/entity/targeting-proteinligand-neosurfaces-with-a-generalizable-deep-learning-tool
MLA “Targeting protein–ligand neosurfaces with a generalizable deep learning tool.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/targeting-proteinligand-neosurfaces-with-a-generalizable-deep-learning-tool.
BibTeX @misc{4ortxyz_targeting-proteinligand-neosurfaces-with-a-generalizable-deep-learning-tool_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Targeting protein–ligand neosurfaces with a generalizable deep learning tool}}, year = {2026}, url = {https://4ort.xyz/entity/targeting-proteinligand-neosurfaces-with-a-generalizable-deep-learning-tool}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Targeting protein–ligand neosurfaces with a generalizable deep learning tool — https://4ort.xyz/entity/targeting-proteinligand-neosurfaces-with-a-generalizable-deep-learning-tool (retrieved 2026-05-24)

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