Humberto Gonzáles-Díaz

Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteins

C. Munteanu, J. Vázquez-Naya, A. Pazos, 2019, bioRxiv.

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

C. Munteanu, J. Vázquez-Naya, A. Pazos, 2020, Scientific Reports.

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

C. Munteanu, J. Vázquez-Naya, A. Pazos, 2020, Scientific Reports.

Prediction of druggable proteins using machine learning and functional enrichment analysis: a focus on cancer-related proteins and RNA-binding proteins

Cristian R. Munteanu, Eduardo Tejera, Alejandro Cabrera-Andrade, 2019, bioRxiv.

Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design I: discovery of anticancer compounds

Miguel A. Cabrera, Lourdes Santana, Eugenio Uriarte, 2003, Journal of molecular modeling.