Leonidas G. Alexopoulos, Ph.D.
Affiliations: | 2004 | Duke University, Durham, NC |
Area:
Biomedical, General, BiomechanicsGoogle:
"Leonidas Alexopoulos"Parents
Sign in to add mentor| Farshid Guilak | grad student | 2004 | Duke | |
| (The biomechanical role of the chondrocyte pericellular matrix in articular cartilage.) | ||||
Children
Sign in to add trainee| Ioannis Melas | grad student | 2009-2014 | National Technical University of Athens |
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Publications
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| Neidlin M, Chantzi E, Macheras G, et al. (2020) A Novel Multiplex Based Platform for Osteoarthritis Drug Candidate Evaluation. Annals of Biomedical Engineering |
| Chantzi E, Neidlin M, Macheras GA, et al. (2020) COMBSecretomics: A pragmatic methodological framework for higher-order drug combination analysis using secretomics. Plos One. 15: e0232989 |
| Sakellaropoulos T, Vougas K, Narang S, et al. (2019) A Deep Learning Framework for Predicting Response to Therapy in Cancer. Cell Reports. 29: 3367-3373.e4 |
| Neidlin M, Dimitrakopoulou S, Alexopoulos LG. (2019) Multi-tissue network analysis for drug prioritization in knee osteoarthritis. Scientific Reports. 9: 15176 |
| Neidlin M, Chantzi E, Macheras G, et al. (2019) An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns. Plos One. 14: e0224231 |
| Kalli M, Voutouri C, Minia A, et al. (2019) Mechanical Compression Regulates Brain Cancer Cell Migration Through MEK1/Erk1 Pathway Activation and GDF15 Expression. Frontiers in Oncology. 9: 992 |
| Vougas K, Sakelaropoulos T, Kotsinas A, et al. (2019) Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining. Pharmacology & Therapeutics. 107395 |
| Goulielmaki M, Assimomytis N, Rozanc J, et al. (2019) DPS-2: A Novel Dual MEK/ERK and PI3K/AKT Pathway Inhibitor with Powerful Ex Vivo and In Vivo Anticancer Properties. Translational Oncology. 12: 932-950 |
| Podder B, Guttà C, Rožanc J, et al. (2019) TAK1 suppresses RIPK1-dependent cell death and is associated with disease progression in melanoma. Cell Death and Differentiation |
| Melas IN, Sakellaropoulos T, Hur J, et al. (2019) A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine. Methods in Molecular Biology (Clifton, N.J.). 1939: 181-198 |