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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/20664
Type: Article
Title: The Impact of CrystallographicData for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity
Author(s): Veit-Acosta, Martina
Walter Filgueira de Azevedo Junior
In: CURRENT MEDICINAL CHEMISTRY
Issue Date: 2021
Volume: 28
First page: 1
Last page: 15
Keywords: protein-ligand interactions
Scoring Function Space
drug design
Machine learning
Crystallography
Deep Learning
URI: https://hdl.handle.net/10923/20664
DOI: DOI:10.2174/0929867328666210210121320
ISSN: 0929-8673
Appears in Collections:Artigo de Periódico

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