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Martínez, M. J., Naveiro, R., Soto, A. J., Talavante, P., Kim Lee, S. H., Gómez Arrayas, R., Campillo, N.E (...) Bernabei, M. & Ponzoni, I.
[2023]. Design of new dispersants using machine learning and visual analytics. Polymers, 15(5), 1324.
Garcia-Rubia, A., Lasala, F., Ginex, T., Morales-Tenorio, M., Olal, C., Heung, M., Oquist, P., Galindo, I., Cuesta-Geijo, M., Casasnovas, J. M., Campillo, N. E.; Canales, Á., Alonso, C., Martínez, A., Muñoz-Fontela, C., Delgado, R., Gil, C.
[2023]. N'-Phenylacetohydrazide derivatives as potent Ebola virus entry inhibitors with an improved pharmacokinetic profile. J Med Chem 2023, 66, 5465-5483.
Suigo, L., Margolin, W., Ulzurrun, E., Hrast Rambaher, M., Zanotto, C., Sebastián-Pérez, V., Campillo, N.E & Valoti, E
[2023]. Benzodioxane–Benzamides as FtsZ Inhibitors: Effects of Linker’s Functionalization on gram-Positive Antimicrobial Activity.Antibiotics 2023, 12(12), 1712
Naveiro Flores, R., Martínez, M. J., Soto, A. J., Ponzoni, I., Ríos-Insua, D., & Campillo, N. E.
[2023]. Deep learning for novel drug development (Chapter 10) 2023. Editor(s): Kunal Roy. Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development, Academic Press.
González-Naranjo, P., Pérez, C., González-Sánchez, M., Gironda-Martínez, A., Ulzurrun, E., Bartolomé, F., Rubio-Fernández, M., Martín-Requro, A., Campillo, NE., Páez, J.A.
[2022]. Multitarget drugs as potential therapeutic agents for alzheimer's disease. A new family of 5-substituted indazole derivatives as cholinergic and BACE1 inhibitors. J Enzyme Inhib Med Chem 2022, 37(1):2348-2356
Sabando, M. V. Soto, A. J. Roca, C. Requena-Triguero, C. Campillo, NE. Páez, J. A. Ponzoni, I.
[2022]. Multitask Deep Neural Networks for Ames Mutagenicity Prediction, J Chem Inf Model, 2022, 62 (24), 6352-6251
