The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.
|Caenorhabditis elegans models of tauopathy v1.0.0
|Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0
|Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1
|Significance of NF-κB as a pivotal therapeutic target in the neurodegenerative pathologies of Alzheimer's disease and multiple sclerosis v1.0.0
|Alzheimer's Disease: Targeting the Cholinergic System v1.0.0
|A role for b2* nicotinic receptors in a model of local amyloid pathology induced in dentate gyrus v1.0.0
|Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0
|The Spleen Tyrosine Kinase (Syk) Regulates Alzheimer Amyloid-β Production and Tau Hyperphosphorylation* v1.0.0
|Tau in physiology and pathology v1.0.0
|Tau Modifications v1.9.5
Treatment with 4OH-GTS-21 improved performance in both of these paradigms, with drug-induced improvements seen at a lower dose (0.3 mg/kg) in avoidance behavior than in the spatial memory–related task
Improved performance was seen each day in the Morris water task at the 2 mg/kg drug dose compared with saline-injected, lesioned animals
4OH-GTS-21 had no effect on the latency to enter the dark chamber during avoidance training (Fig. 1 ) or on swim speed in the Morris water task (data not shown), indicating that it had no discernible effect on locomotor function
FFX lesions also reduced the size of the septal cholinergic perikarya in saline-injected wild type mice in a manner that was largely prevented by treatment with 4OH-GTS-21 (Fig. 5)
4OH-GTS-21 had no effect on cholinergic cell size in the unlesioned sides of the septa of the wild type or PS1 mice, but did cause atrophy of these neurons in the APP/PS1 mice
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.