Ursu, Oleg

A comprehensive map of molecular drug targets

Santos, R., Ursu, O., Gaulton, A., Bento, A. P., Donadi, R. S., Bologa, C. G., Karlsson, A., Al-Lazikani, B., Hersey, A., Oprea, T. I., et al. (2017) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 2,427

Unexplored therapeutic opportunities in the human genome

Oprea, T. I., Bologa, C. G., Brunak, S., Campbell, A., Gan, G. N., Gaulton, A., Gomez, S. M., Guha, R., Hersey, A., Holmes, J., et al. (2018) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 378

DrugCentral: online drug compendium

Ursu, O., Holmes, J., Knockel, J., Bologa, C. G., Yang, J. J., Mathias, S. L., Nelson, S. J., & Oprea, T. I. (2017) · Nucleic Acids Research

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 323

Pharos: collating protein information to shed light on the druggable genome

Nguyen, D.-T., Mathias, S., Bologa, C., Brunak, S., Fernandez, N., Gaulton, A., Hersey, A., Holmes, J., Jensen, L. J., Karlsson, A., et al. (2017) · Nucleic Acids Research

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 279

Understanding drug‐likeness

Ursu, O., Rayan, A., Goldblum, A., & Oprea, T. I. (2011) · WIREs Computational Molecular Science

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 276

DrugCentral 2021 supports drug discovery and repositioning

Avram, S., Bologa, C. G., Holmes, J., Bocci, G., Wilson, T. B., Nguyen, D.-T., Curpan, R., Halip, L., Bora, A., Yang, J. J., et al. (2021) · Nucleic Acids Research

Computational Drug Discovery MethodsPharmacovigilance and Adverse Drug Reactions

Cited by 189

Badapple: promiscuity patterns from noisy evidence

Yang, J. J., Ursu, O., Lipinski, C. A., Sklar, L. A., Oprea, T. I., & Bologa, C. G. (2016) · Journal of Cheminformatics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 103

Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity

Binder, J., Ursu, O., Bologa, C., Jiang, S., Maphis, N., Dadras, S., Chisholm, D., Weick, J., Myers, O., Kumar, P., et al. (2022) · Communications Biology

Alzheimer's disease research and treatmentsBioinformatics and Genomic Networks

Cited by 49

TIN-X: target importance and novelty explorer

Cannon, D. C., Yang, J. J., Mathias, S. L., Ursu, O., Mani, S., Waller, A., Schürer, S. C., Jensen, L. J., Sklar, L. A., Bologa, C. G., et al. (2017) · Bioinformatics

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 34

Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records

Vazquez Guillamet, R., Ursu, O., Iwamoto, G., Moseley, P. L., & Oprea, T. (2018) · Health Informatics Journal

Chronic Obstructive Pulmonary Disease (COPD) ResearchMachine Learning in Healthcare

Cited by 30

Formalizing drug indications on the road to therapeutic intent

Nelson, S. J., Oprea, T. I., Ursu, O., Bologa, C. G., Zaveri, A., Holmes, J., Yang, J. J., Mathias, S. L., Mani, S., Tuttle, M. S., et al. (2017) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesSemantic Web and Ontologies

Cited by 9