Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets

Predicting protein-ligand interactions using artificial intelligence (AI) models has attracted great interest in recent years. However, data-driven AI models unequivocally suffer from a lack of sufficiently large and unbiased datasets. Here, we systematically investigated the data biases on the PDBb...

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Detalles Bibliográficos
Autores principales: Yang, Jincai, Shen, Cheng, Huang, Niu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052818/
https://www.ncbi.nlm.nih.gov/pubmed/32161539
http://dx.doi.org/10.3389/fphar.2020.00069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052818/
https://www.ncbi.nlm.nih.gov/pubmed/32161539
http://dx.doi.org/10.3389/fphar.2020.00069

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