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Geometric deep-learning prediction of ligand binding poses. Assess steric plausibility and target-specific performance before using poses downstream.
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Geometric deep-learning prediction of ligand binding poses. Assess steric plausibility and target-specific performance before using poses downstream.
Informationen mit einer offiziellen Primärquelle abgeglichen; kein Praxistest. Quelle · Zuletzt geprüft: 16/09/2026, 17:33:40 UTC
Use this citation format when referencing EquiBind in scientific publications and benchmark papers.
@software{equibind_2026,
title = {{EquiBind}},
author = {{EquiBind authors}},
year = {2026},
url = {https://github.com/HannesStark/EquiBind},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for EquiBind.
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EquiBind Scientific Architecture · Credit: EquiBind authors · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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