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Apo-Holo: a neural network to predict residue-level backbone and side-chain displacements during the formation of CAZyme-sugar complexes.

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Title: Apo-Holo: a neural network to predict residue-level backbone and side-chain displacements during the formation of CAZyme-sugar complexes.
Authors: Alonso-Gil S; Institut Laue-Langevin, Grenoble, France.; Laboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Medical University of Graz, Graz, Austria.; Faculty of Statistical Studies, Complutense University of Madrid, Madrid, Spain.
Source: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2026 Apr 07, pp. 1-11. Date of Electronic Publication: 2026 Apr 07.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 8404176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-0254 (Electronic) Linking ISSN: 07391102 NLM ISO Abbreviation: J Biomol Struct Dyn Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Alonso-Gil+S%22">Alonso-Gil S</searchLink>; Institut Laue-Langevin, Grenoble, France.; Laboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Medical University of Graz, Graz, Austria.; Faculty of Statistical Studies, Complutense University of Madrid, Madrid, Spain.
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        Value: 10.1080/07391102.2026.2655805
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      – TitleFull: Apo-Holo: a neural network to predict residue-level backbone and side-chain displacements during the formation of CAZyme-sugar complexes.
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              Text: 2026 Apr 07
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