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Phosphorylation

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[Interleukin?22 promotes proliferation of fibroblast?like synoviocytes from patients with rheumatoid arthritis by inducing STAT3 phosphorylation].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE: To clarify the mechanism by which interleukin?22 (IL?22) promotes the proliferation of fibroblast?like synoviocytes (FLS) from patients with rheumatoid arthritis (RA).

[Y-27632 protects H9c2 cardiomyocytes against hypoxia/reoxygenation injury by inhibiting autophagy pathway].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Objective To investigate the protective effect of preconditioning with Rho-kinase inhibitor Y-27632 on H9c2 cardiomyocytes against hypoxia/reoxygenation (H/R) injury, and explore its underlying mechanism. Methods H9c2 cardiomyocytes were divided into...

MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Computational methods for phosphorylation site prediction play important roles in protein function studies and experimental design. Most existing methods are based on feature extraction, which may result in incomplete or biased features. ...

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

Nucleic acids research
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, ...

Assessment of Functional Phosphatidylinositol 3-Kinase Pathway Activity in Cancer Tissue Using Forkhead Box-O Target Gene Expression in a Knowledge-Based Computational Model.

The American journal of pathology
The phosphatidylinositol 3-kinase (PI3K) pathway is commonly activated in cancer. Tumors are potentially sensitive to PI3K pathway inhibitors, but reliable diagnostic tests that assess functional PI3K activity are lacking. Because PI3K pathway activi...

A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Understanding the specificity of protein receptor-ligand interactions is pivotal for our comprehension of biological mechanisms and systems. Receptor protein families often have a certain level of sequence diversity that converges into fe...

Capsule network for protein post-translational modification site prediction.

Bioinformatics (Oxford, England)
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...

DeepPhos: prediction of protein phosphorylation sites with deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Phosphorylation is the most studied post-translational modification, which is crucial for multiple biological processes. Recently, many efforts have been taken to develop computational predictors for phosphorylation site prediction, but m...

iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition.

IEEE/ACM transactions on computational biology and bioinformatics
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is responsible for various biological functions such as protein degradation, intracellular localization, the multitude of cellular processes, molecular association,...