Novel computational deep learning strategy for neuroprotection identification reveals unique set of nicotine analogs as potential therapeutic compounds against Parkinsons disease
Felipe Rojas-Rodríguez, Carlos Morantes, Andrés Mauricio Pinzón, George Emilio Barreto, Ricardo Cabezas, Leonardo Mariño‐Ramírez, Janneth González
This paper predicts the neuroprotective potential of seven nicotine analogs against Parkinson's disease using a deep learning model integrating structural data and signaling pathway analysis.
bioRxiv · Aug 19, 2019 · PreprintBioinformatics