Learning Distributed Representations for the Classification of Terms
Abstract
The combination of inhibitor of oxidative phosphorylation (OXPHOS) with dimethyl-α-ketoglutarate, a cell-permeable precursor of α-ketoglutarate, is highly efficient in killing human cancer cells in vitro or in vivo, in xenotransplanted mice. This effect involves excessive anaplerosis, as demonstrated by the fact that inhibition of isocitrate dehydrogenase-1, IDH1, reduced the efficacy of cancer cell killing by the combination treatment. However, the signal transduction pathway leading to cell death turned out to be complex because it involved numerous atypical cell death effectors (such as AIF, APEX, MDM2, PARP1), as well as a profound remodeling of the transcriptome resulting in reduced expression of glycolytic enzymes. The combined inhibition of OXPHOS and glycolytic ATP generation culminated in a lethal bioenergetic catastrophe.
Cite
Text
Sperduti et al. "Learning Distributed Representations for the Classification of Terms." International Joint Conference on Artificial Intelligence, 1995. doi:10.1016/bs.ircmb.2019.07.002Markdown
[Sperduti et al. "Learning Distributed Representations for the Classification of Terms." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/sperduti1995ijcai-learning/) doi:10.1016/bs.ircmb.2019.07.002BibTeX
@inproceedings{sperduti1995ijcai-learning,
title = {{Learning Distributed Representations for the Classification of Terms}},
author = {Sperduti, Alessandro and Starita, Antonina and Goller, Christoph},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {509-517},
doi = {10.1016/bs.ircmb.2019.07.002},
url = {https://mlanthology.org/ijcai/1995/sperduti1995ijcai-learning/}
}