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Acetylation

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Rapid LC-MS/MS quantification of cancer related acetylated polyamines in human biofluids.

Talanta 30683386
Increased urinary acetylated polyamines (APs) are reported as cancer biomarkers in many studies. N,N-diacetylspermine has been proposed as a biomarker indicative of different cancers in urine and plasma. N-Acetylspermine has previously been found to ...
Acetylation Biomarkers, Tumor Chromatography, Liquid Humans Polyamines Saliva Tandem Mass Spectrometry
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Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou's PseAAC.

Journal of molecular graphics & modelling 28763688
Lysine propionylation is an important and common protein acylation modification in both prokaryotes and eukaryotes. To better understand the molecular mechanism of propionylation, it is important to identify propionylated substrates and their corresp...
Acetylation Algorithms Amino Acid Sequence Amino Acids Computational Biology Lysine Peptides Position-Specific Scoring Matrices Protein Processing, Post-Translational Reproducibility of Results Support Vector Machine
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Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC.

Journal of theoretical biology 30365945
Lysine acetylation is one of the most important types of protein post-translational modifications (PTM) that are widely involved in cellular regulatory processes. To fully understand the regulatory mechanism of acetylation, identification of acetylat...
Acetylation Bacteria Bacterial Proteins Binding Sites Computational Biology Datasets as Topic Lysine Prokaryotic Cells Protein Processing, Post-Translational Species Specificity Support Vector Machine
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A deep learning method to more accurately recall known lysine acetylation sites.

BMC bioinformatics 30674277
BACKGROUND: Lysine acetylation in protein is one of the most important post-translational modifications (PTMs). It plays an important role in essential biological processes and is related to various diseases. To obtain a comprehensive understanding o...
Acetylation Deep Learning Lysine Protein Processing, Post-Translational
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Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.

BMC bioinformatics 31208321
BACKGROUND: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in protein...
Acetylation Amino Acid Sequence Animals Computational Biology Databases, Protein Gene Ontology Humans Lysine Mice Molecular Sequence Annotation Position-Specific Scoring Matrices Protein Processing, Post-Translational Protein Structure, Secondary Proteins Rats Support Vector Machine
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Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.

Briefings in bioinformatics 32978618
Protein lysine acetylation regulation is an important molecular mechanism for regulating cellular processes and plays critical physiological and pathological roles in cancers and diseases. Although massive acetylation sites have been identified throu...
Acetylation Datasets as Topic Deep Learning Histone Deacetylases Humans Internet Lysine Neoplasms
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Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models.

Journal of chemical information and modeling 35816597
Accurate prediction of post-translational modifications (PTMs) is of great significance in understanding cellular processes, by modulating protein structure and dynamics. Nowadays, with the rapid growth of protein data at different "omics" levels, ma...
Acetylation Deep Learning Phosphorylation Protein Processing, Post-Translational Proteins
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TransPTM: a transformer-based model for non-histone acetylation site prediction.

Briefings in bioinformatics 38725156
Protein acetylation is one of the extensively studied post-translational modifications (PTMs) due to its significant roles across a myriad of biological processes. Although many computational tools for acetylation site identification have been develo...
Acetylation Algorithms Computational Biology Databases, Protein Humans Neural Networks, Computer Protein Processing, Post-Translational Proteins Software
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Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model.

Computers in biology and medicine 38588617
N-terminal acetylation is one of the most common and important post-translational modifications (PTM) of eukaryotic proteins. PTM plays a crucial role in various cellular processes and disease pathogenesis. Thus, the accurate identification of N-term...
Acetylation Algorithms Databases, Protein Deep Learning Humans Neural Networks, Computer Protein Processing, Post-Translational Proteins
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Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning.

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology 39585802
OBJECTIVE: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and infertility in women, impacting quality of life. Despite advancements, current understanding of PCOS pathogenesis and treatment remains limited. This stu...
Acetylation Female Genetic Markers Humans Machine Learning Polycystic Ovary Syndrome
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