Marios Krokidis

Dr. Marios Krokidis is Assistant Professor of Computational Molecular Biomedicine and Drug Modeling at the Ionian University Informatics Department. He received his PhD from the Medical School of Patras University and holds a B.S. degree in Chemistry and a MSc degree in Drug Design and Development from the same University. He has been a Visiting Research Fellow at Ludwig-Maximilians University of Munich and Postdoctoral Researcher at the Medical School of the National and Kapodistrian University of Athens, the National Center for Scientific Research Demokritos and the Ionian University Informatics Department supported by competitive European and national grants.

Research Interests

• Computational Biomedicine
• Molecular Analysis and Biomarkers Discovery
• Structural Bioinformatics
• Computational Drug Design
• Pharmacology and Bioactivity models

Selected Publications

• Krokidis, M.G., Dimitrakopoulos, G.N., Vrahatis, A.G., Exarchos, T.P., Vlamos, P., 2024. Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers in Computational Neuroscience, 17
• Efraimidis, E., Krokidis, M.G., Exarchos, T.P., Lazar, T., Vlamos, P., 2023. In Silico Structural Analysis Exploring Conformational Folding of Protein Variants in Alzheimer’s Disease. International Journal of Molecular Sciences, 24, 13543.
• Krokidis, M.G., Vrahatis, A.G., Lazaros, K., Skolariki, K., Exarchos, T.P., Vlamos, P., 2023. Machine Learning Analysis of Alzheimer's Disease Single-Cell RNA-Sequencing Data across Cortex and Hippocampus Regions. Current Issues in Molecular Biology, 45, 8652-8669.
• Krokidis, M.G., Dimitrakopoulos, G.N., Vrahatis, A.G., Tzouvelekis, C., Drakoulis, D., Papavassileiou, F., Exarchos, T.P., Vlamos, P., 2022. A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes. Sensors, 22.
• Svetlov, M.S., Plessa, E., Chen, C.W., Bougas, A., Krokidis, M.G., Dinos, G.P., Polikanov, Y.S., 2019. High-resolution crystal structures of ribosome-bound chloramphenicol and erythromycin provide the ultimate basis for their competition. RNA, 25, 600-606.