Mestres, Jordi

In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities

Rubio-Perez, C., Tamborero, D., Schroeder, M. P., Antolín, A. A., Deu-Pons, J., Perez-Llamas, C., Mestres, J., Gonzalez-Perez, A., & Lopez-Bigas, N. (2015) · Cancer Cell

Cancer Genomics and DiagnosticsLung Cancer Treatments and Mutations

Cited by 296

Drug repurposing: far beyond new targets for old drugs

Oprea, T. I., & Mestres, J. (2012) · The AAPS Journal

Computational Drug Discovery MethodsPharmaceutical Economics and Policy

Cited by 285

Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds

Bajorath, J., Chávez-Hernández, A. L., Duran-Frigola, M., Fernández-de Gortari, E., Gasteiger, J., López-López, E., Maggiora, G. M., Medina-Franco, J. L., Méndez-Lucio, O., Mestres, J., et al. (2022) · Journal of Cheminformatics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 38

Chemoinformatics and Artificial Intelligence Colloquium: Progress and Challenges to Develop Bioactive Compounds

Bajorath, J., Chávez-Hernández, A. L., Duran-Frigola, M., Fernández-de Gortari, E., Gasteiger, J., López-López, E., Maggiora, G. M., Medina-Franco, J. L., Méndez-Lucio, O., Mestres, J., et al. (2022) · Journal of Cheminformatics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 37