Protein model quality assessment using rotation-equivariant, hierarchical neural networks

Proteins are miniature machines whose function depends on their three-dimensional (3D) structure. Determining this structure computationally remains an unsolved grand challenge. A major bottleneck involves selecting the most accurate structural model among a large pool of candidates, a task addresse...

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Bibliographische Detailangaben

Hauptverfasser:	Eismann, Stephan, Suriana, Patricia, Jing, Bowen, Townshend, Raphael J. L, Dror, Ron O
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Quantitative Biology - Quantitative Methods
Online-Zugang:	Volltext bestellen
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