Integrated Workflow for Drug Repurposing in Glioblastoma: Computational Prediction and Preclinical Validation of Therapeutic Candidates
Our findings using different cellular models suggest that this computational prediction model could constitute a valuable tool for drug repurposing in GBM and potentially in other tumors, which could accelerate the development of more effective cancer treatments.
Authors
- Matías Garcia Fallit (ORCID: https://orcid.org/0009-0005-1915-1604)
- Guillermo Videla Richardson
- Jorge A. Peña Agudelo (ORCID: https://orcid.org/0000-0003-3470-7824)
- Alejandro J. Nicola Candia (ORCID: https://orcid.org/0000-0002-0194-560X)
- Nazareno González (ORCID: https://orcid.org/0000-0003-4013-3396)
- Melanie Pérez Küper (ORCID: https://orcid.org/0009-0007-8155-9613)
- Marianela Candolfi (ORCID: https://orcid.org/0000-0002-0843-6568)
- Atocha Romero (ORCID: https://orcid.org/0000-0002-1634-7397)
- Maicol Suarez Velandia
Institutions
- Universidad de Buenos Aires (AR)
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (AR)
- Institute of Astronomy and Space Physics (AR)
- Fundación Ciencias Exactas y Naturales (AR)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-06-13
- DOI
- https://doi.org/10.3390/brainsci15060637
- Citations
- 5
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 6.84
Funders
- Fundación Florencio Fiorini
- Consejo Interuniversitario Nacional
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Agencia Nacional de Promoción Científica y Tecnológica