Cargando…
Glycoinformatics in the Artificial Intelligence Era
[Image: see text] Artificial intelligence (AI) methods have been and are now being increasingly integrated in prediction software implemented in bioinformatics and its glycoscience branch known as glycoinformatics. AI techniques have evolved in the past decades, and their applications in glycoscienc...
Autores principales: | Bojar, Daniel, Lisacek, Frederique |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615983/ https://www.ncbi.nlm.nih.gov/pubmed/35961636 http://dx.doi.org/10.1021/acs.chemrev.2c00110 |
Ejemplares similares
-
The use of glycoinformatics in glycochemistry
por: Lütteke, Thomas
Publicado: (2012) -
EUROCarbDB: An open-access platform for glycoinformatics
por: von der Lieth, Claus-Wilhelm, et al.
Publicado: (2011) -
LectinOracle: A Generalizable Deep Learning Model for Lectin–Glycan Binding Prediction
por: Lundstrøm, Jon, et al.
Publicado: (2021) -
Immunoglobulin G N-glycan Biomarkers for Autoimmune Diseases: Current State and a Glycoinformatics Perspective
por: Flevaris, Konstantinos, et al.
Publicado: (2022) -
Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy
por: Muthu, Manikandan, et al.
Publicado: (2020)