AIMC Topic: Lysine

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An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer.

Journal of imaging informatics in medicine Apr 8, 2024
Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor burden determinations. We developed and evaluated an automated deep learning (DL)-based framework that segments and classifies uptake on PSMA PET/CT. ...
Deep Learning Positron Emission Tomography Computed Tomography Aged Male Lysine Antigens, Surface Glutamate Carboxypeptidase II Prostatic Neoplasms Urea Humans
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DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites.

Computers in biology and medicine Jan 28, 2024
MOTIVATION: Phosphorylation, a prevalent post-translational modification, plays a crucial role in regulating cellular activities. This process encompasses O-phosphorylation (e.g., phosphoserine) and N-phosphorylation (e.g., phospho-lysine (pK), phosp...
Arginine Lysine Histidine Protein Processing, Post-Translational Phosphorylation Deep Learning
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Prediction of lysine HMGylation sites using multiple feature extraction and fuzzy support vector machine.

Analytical biochemistry Dec 30, 2022
Protein 3-hydroxyl-3-methylglutarylation (HMGylation) is newly discovered lysine acylation modification in mitochondrion. The accurate identification of HMGylation sites is the premise and key to further explore the molecular mechanisms of HMGylation...
Algorithms Protein Processing, Post-Translational Proteins Amino Acids Computational Biology Support Vector Machine Lysine
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Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation.

Genomics, proteomics & bioinformatics Dec 6, 2022
Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell's endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by...
Ubiquitination Lysine Proteolysis Machine Learning Proteome
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ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites.

Cells Aug 25, 2022
Lysine SUMOylation plays an essential role in various biological functions. Several approaches integrating various algorithms have been developed for predicting SUMOylation sites based on a limited dataset. Recently, the number of identified SUMOylat...
Lysine Sumoylation Machine Learning Deep Learning Neural Networks, Computer
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Machine-Learning-Enabled Virtual Screening for Inhibitors of Lysine-Specific Histone Demethylase 1.

Molecules (Basel, Switzerland) Dec 10, 2021
A machine learning approach has been applied to virtual screening for lysine specific demethylase 1 (LSD1) inhibitors. LSD1 is an important anti-cancer target. Machine learning models to predict activity were constructed using Morgan molecular finger...
Histone Demethylases Databases, Factual Molecular Structure Enzyme Inhibitors Lysine Humans Drug Evaluation, Preclinical Machine Learning
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An Ensemble Deep Learning based Predictor for Simultaneously Identifying Protein Ubiquitylation and SUMOylation Sites.

BMC bioinformatics Oct 24, 2021
BACKGROUND: Several computational tools for predicting protein Ubiquitylation and SUMOylation sites have been proposed to study their regulatory roles in gene location, gene expression, and genome replication. However, existing methods generally rely...
Ubiquitination Lysine Sumoylation Deep Learning Amino Acid Sequence
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Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques.

Biochimie Oct 7, 2021
Lysine formylation is a newly discovered and mostly interested type of post-translational modification (PTM) that is generally found on core and linker histone proteins of prokaryote and eukaryote and plays various important roles on the regulation o...
Animals Support Vector Machine Protein Processing, Post-Translational Lysine Humans Histones Acylation
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RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix.

Genes Dec 20, 2020
BACKGROUND: Post-translational modification (PTM) is a biological process that is associated with the modification of proteome, which results in the alteration of normal cell biology and pathogenesis. There have been numerous PTM reports in recent ye...
Protein Processing, Post-Translational Amino Acid Sequence Software Glyceric Acids Datasets as Topic Algorithms ROC Curve Lysine Support Vector Machine
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PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids.

Genes Nov 28, 2020
Post-translational modification (PTM) is a critical biological reaction which adds to the diversification of the proteome. With numerous known modifications being studied, pupylation has gained focus in the scientific community due to its significant...
Databases, Protein Support Vector Machine Computational Biology Lysine Protein Processing, Post-Translational Proteome
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