DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction

Protein N-linked glycosylation is a post-translational modification that plays an important role in a myriad of biological processes. Computational prediction approaches serve as complementary methods for the characterization of glycosylation sites. Most of the existing predictors for N-linked glyco...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Molecules (Basel, Switzerland) Switzerland), 2021-12, Vol.26 (23), p.7314, Article 7314
Hauptverfasser:	Pakhrin, Subash C., Aoki-Kinoshita, Kiyoko F., Caragea, Doina, Dukka, B. K. C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biochemistry & Molecular Biology Biological activity Biological computing Chemistry Chemistry, Multidisciplinary Computer applications Datasets Deep Learning deep neural network Glycosylation Humans Information processing Life Sciences & Biomedicine Models, Biological N-linked glycosylation Neural networks Neural Networks, Computer Peptides Physical Sciences Polysaccharides - analysis Post-translation post-translation modification Predictions Proline Protein Processing, Post-Translational Proteins Proteome - chemistry Proteomes Science & Technology sequon Severe acute respiratory syndrome coronavirus 2 Signal transduction Support vector machines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!