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For example, it has been shown that the benzyl quinolone carboxylic acid (BQCA), which is an M1-selective allosteric agonist, is effective in increasing spontaneous excitatory postsynaptic currents in the medial prefrontal cortex (mPFC) pyramidal cells and improving memory in a transgenic mouse model of AD

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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.