AIMC Topic: Protein Processing, Post-Translational

Clear Filters Showing 131 to 136 of 136 articles

Capsule network for protein post-translational modification site prediction.

Bioinformatics (Oxford, England) Jul 15, 2019
MOTIVATION: Computational methods for protein post-translational modification (PTM) site prediction provide a useful approach for studying protein functions. The prediction accuracy of the existing methods has significant room for improvement. A rece...
Neural Networks, Computer Glycosylation Proteins Protein Processing, Post-Translational Sumoylation Phosphorylation
View on PubMed DOI

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

Bioinformatics (Oxford, England) Sep 1, 2018
MOTIVATION: Computational methods that predict differential gene expression from histone modification signals are highly desirable for understanding how histone modifications control the functional heterogeneity of cells through influencing different...
Histone Code Protein Processing, Post-Translational Histones Gene Expression Humans Machine Learning Software
View on PubMed DOI

O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique.

Bioinformatics (Oxford, England) Jun 15, 2018
MOTIVATION: Protein O-GlcNAcylation (O-GlcNAc) is an important post-translational modification of serine (S)/threonine (T) residues that involves multiple molecular and cellular processes. Recent studies have suggested that abnormal O-G1cNAcylation c...
Proteomics Support Vector Machine Computational Biology Bayes Theorem Models, Biological Acetylglucosamine Protein Processing, Post-Translational
View on PubMed DOI

iPTMnet: an integrated resource for protein post-translational modification network discovery.

Nucleic acids research Jan 4, 2018
Protein post-translational modifications (PTMs) play a pivotal role in numerous biological processes by modulating regulation of protein function. We have developed iPTMnet (http://proteininformationresource.org/iPTMnet) for PTM knowledge discovery, ...
Data Mining Enzymes Sequence Alignment Internet Knowledge Bases Phosphorylation Computational Biology Protein Interaction Maps Databases, Protein Protein Processing, Post-Translational Humans Animals
View on PubMed DOI

Prediction of Nitrated Tyrosine Residues in Protein Sequences by Extreme Learning Machine and Feature Selection Methods.

Combinatorial chemistry & high throughput screening Jan 1, 2018
BACKGROUND: Accurately recognizing nitrated tyrosine residues from protein sequences would pave a way for understanding the mechanism of nitration and the screening of the tyrosine residues in sequences.
Databases, Protein Nitrates Amino Acid Sequence Computational Biology Protein Processing, Post-Translational Machine Learning Tyrosine
View on PubMed DOI

iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Molecular bioSystems Jul 25, 2017
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As a result, identifying an uncharacterized protein sequence as a phosphorylated protein is a very meaningful problem and an urgent issue for both basic ...
Internet Support Vector Machine Benchmarking Proteins Phosphorylation Serine Protein Processing, Post-Translational Software Threonine Humans Computational Biology Datasets as Topic Tyrosine
View on PubMed DOI
Popular Topics
Recent Journals