Author

Felipe Rojas-Rodríguez

Pontificia Universidad JaverianaORCID 0000-0003-2159-7224Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andrés Mauricio PinzóniD· 1 shared Carlos MorantesiD· 1 shared George Emilio BarretoiD· 1 shared Janneth GonzáleziD· 1 shared Leonardo Mariño‐RamíreziD· 1 shared Ricardo Cabezas· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Andrés Mauricio PinzónORCID

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1 paper

Recent·Most cited

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