AIMC Topic: Signal Transduction

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[Neural network modeling of multitarget RAGE inhibitory activity].

Biomeditsinskaia khimiia
Based on the methodology of artificial neural networks, models describing the dependence of the level of RAGE inhibitory activity on the affinity of compounds for target proteins of the RAGE-NF-kB signal pathway have been costructed. A validated data...

Autophagy and Apoptosis Specific Knowledgebases-guided Systems Pharmacology Drug Research.

Current cancer drug targets
BACKGROUND: Autophagy and apoptosis are the basic physiological processes in cells that clean up aged and mutant cellular components or even the entire cells. Both autophagy and apoptosis are disrupted in most major diseases such as cancer and neurol...

[Effects of ATP on expression of inflammatory factors in endothelial progenitor cells induced by LPS and the mechanisms].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
To investigate the effects of adenosine triphosphate (ATP) on expression of inflammatory factors induced by lipopolysaccharide (LPS) in endothelial progenitor cells (EPCs), and to elucidate the possible mechanisms.
 Methods: Mononuclear cells were is...

Effect of simvastatin on the SIRT2/NF-κB pathway in rats with acute pulmonary embolism.

Pharmaceutical biology
CONTEXT: Statins have been widely used in acute pulmonary embolism (APE), while simvastatin has been well-established for the prevention of pulmonary hypertension, which was supposed to be an attractive recommendation for APE treatment.

[The β2GPI/aβ2GPI inhibits phagocytosis of oxidized low-density lipoprotein in THP-1 macrophages via activating TLR4].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Objective To investigate the effects of β2 glycoprotein I/anti-β2 glycoprotein I antibody complex (β2GPI/aβ2GPI) on lipid phagocytosis and class B scavenger receptor CD36 expression of macrophages, and the role of Toll-like receptor 4 (TLR4) during t...

Classifying tumors by supervised network propagation.

Bioinformatics (Oxford, England)
MOTIVATION: Network propagation has been widely used to aggregate and amplify the effects of tumor mutations using knowledge of molecular interaction networks. However, propagating mutations through interactions irrelevant to cancer leads to erosion ...

Learning with multiple pairwise kernels for drug bioactivity prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Many inference problems in bioinformatics, including drug bioactivity prediction, can be formulated as pairwise learning problems, in which one is interested in making predictions for pairs of objects, e.g. drugs and their targets. Kernel...

Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas.

Cell reports
Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these "hidden responders" may reveal responsive molecular states. We describe and evaluate a mach...

The Reactome Pathway Knowledgebase.

Nucleic acids research
The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations-an extended version of a clas...

A Brief Survey of Machine Learning Application in Cancerlectin Identification.

Current gene therapy
Proteins with at least one carbohydrate recognition domain are lectins that can identify and reversibly interact with glycan moiety of glycoconjugates or a soluble carbohydrate. It has been proved that lectins can play various vital roles in mediatin...