Myrianthopoulos Vasileios
Assistant Professor · Rational drug design
National and Kapodistrian University of AthensAbout
Myrianthopoulos Vasileios is an Assistant Professor in the Division of Pharmaceutical Chemistry at the Department of Pharmacy, National and Kapodistrian University of Athens. His research focuses on rational drug design, molecular simulations, and biophysical methods applied to epigenetics, protein kinases, and cellular senescence. He has conducted postdoctoral training at institutions including the Structural Genomics Consortium (University of Oxford) and the Target Discovery Institute.
Education:
- Bachelor’s Degree in Pharmacy (2002), National and Kapodistrian University of Athens
- PhD in Medicinal Chemistry (2010), Department of Pharmacy, National and Kapodistrian University of Athens
Research Interests:
His work integrates computational chemistry, structural biology, and experimental pharmacology to design novel therapeutics. Key areas include: drug discovery for epigenetic targets (e.g., bromodomains), protein kinase inhibitors for cancer therapy, and senotherapeutics targeting cellular senescence. He employs hybrid virtual/experimental screening approaches and biophysical assays to validate lead compounds.
Publications:
His recent work highlights advancements in senescence-based cancer therapies, antiviral drug design, and kinase inhibitor development. A 2019 Pharmacology & Therapeutics review on senotherapeutics underscores his leadership in this emerging field. Collaborative projects with the Structural Genomics Consortium and Athena Research Centre further emphasize his interdisciplinary approach.
Awards:
- 4 poster awards at international conferences
- EU-COST TD0905 Short-Term Scientific Mission Grant (2013)
- EPEAEK postgraduate scholarship (2002)
Labs & Collaborations:
Affiliated with the Department of Pharmacy’s Pharmaceutical Chemistry Division, he collaborates with the Target Discovery Institute (Oxford) and Athena Research Centre. His lab focuses on translational drug discovery bridging computational modeling and benchtop experimentation.
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