Author

Antonio Romo-Mancillas

ORCID 0000-0003-2869-588XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Durbis J. Castillo-PazosiD· 1 shared Joaquín Barroso-FloresiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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1 shared paperPharmacology & Toxicology

Durbis J. Castillo-PazosORCID

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1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintMay 24, 2018

Piperazine-based HIV-1 entry inhibitors: Massive in silico library design and screening for gp120 attachment inhibitors.

Durbis J. Castillo-Pazos, Antonio Romo-Mancillas, Joaquín Barroso-Flores

The paper designs and screens a large virtual library of piperazine-based compounds to identify potential HIV-1 gp120 attachment inhibitors through computational methods.

DOI 10.1101/330142

deep learningstatistical model

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