id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-327997-noqbcxua	Wu, Kevin E.	RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus	2020-06-20		.txt	text/plain	7201	377	42	We predict the SARS-CoV-2 RNA genome and sgRNAs to be enriched towards the host mitochondrial matrix and nucleolus, and that the 5' and 3' viral untranslated regions contain the strongest, most distinct localization signals. As previously discussed, since much of the APEX-seq mitochondrial data used to train RNA-GPS actually consists of nuclear-encoded transcripts likely picked up as the APEX-COX4 fusion protein is transported to the mitochondria, we hypothesize that our predicted mitochondrial residency is alluding to similarity in localization pathways, rather than localization destination. To further validate the robustness of these results, we also trained a different predictive algorithm (a recurrent neural network, see STAR Methods for additional details) on the APEX-seq data and performed a similar set of experiments, comparing SARS-CoV-2 dominant subcellular residency predictions to human and coronavirus baselines ( Figure S3A /B).	./cache/cord-327997-noqbcxua.txt	./txt/cord-327997-noqbcxua.txt