A novel method for Identification of Glutarylation sites combining Borderline-SMOTE with Tomek links technique in imbalanced data.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3095482
Abstract: Glutarylation is a type of post-translational modification that occurs on lysine residues. It plays an irreplaceable role in various cellular functions. Therefore, identification of glutarylation sites is significant for understanding the molecular mechanism of glutarylation.… read more here.
Keywords: identification glutarylation; glutarylation; links technique; tomek links ... See more keywords
ProtTrans-Glutar: Incorporating Features From Pre-trained Transformer-Based Models for Predicting Glutarylation Sites
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.885929
Abstract: Lysine glutarylation is a post-translational modification (PTM) that plays a regulatory role in various physiological and biological processes. Identifying glutarylated peptides using proteomic techniques is expensive and time-consuming. Therefore, developing computational models and predictors can… read more here.
Keywords: prottrans glutar; trained transformer; glutarylation sites; transformer based ... See more keywords
Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Life"
DOI: 10.3390/life12081213
Abstract: In recent years, much research has found that dysregulation of glutarylation is associated with many human diseases, such as diabetes, cancer, and glutaric aciduria type I. Therefore, glutarylation identification and characterization are essential tasks for… read more here.
Keywords: sites prediction; deep neural; glutarylation sites; word embedding ... See more keywords