Axenopoulos Apostolos – Information Technologies Institute

People

Dr. Apostolos Axenopoulos

Postdoctoral Research Associate

Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (2003)
MSc in Advanced Computing and Communication Systems, Aristotle University of Thessaloniki (2008)
PhD in Electrical and Computer Engineering, University of Thessaly (2014)

Apostolos Axenopoulos works as an Associate Researcher at the Information Technologies Institute (CERTH/ITI), since November 2003. He has participated in more than 10 projects, funded by the EC and the Greek Ministry of Research and Technology. His main research interests include 3D object indexing, content-based search and retrieval, multimedia applications and bioinformatics. He has published more than 30 papers in refereed journals, book chapters and international conferences, and he is a reviewer for several journals and conferences. He is also a Member IEEE.

Recent Publications

Show all (61)

A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, P. Ghia, K. Stamatopoulos, F. Alvarez, P. Daras, "DeepSurf2-FF: Introducing Force Fields in Deep Learning for Improving in-Silico Prediction of Bcr-Antigen Interactions in B Cell Lymphomas.",66th ASH Annual Meeting and Exposition, December 7-10, 2024, in San Diego, California.
I. Gkekas, S. Katsamakas, S. Mylonas, T. Fotopoulou, G. Ε. Magoulas, A. C. Tenchiu, M. Dimitriou, A. Axenopoulos, N. Rossopoulou, S. Kostova, E. E. Wanker, T. Katsila, D. Papahatjis, V. G. Gorgoulis, M. Koufaki, I. Karakasiliotis, T. Calogeropoulou, P. Daras, S. Petrakis, "AI Promoted Virtual Screening, Structure-Based Hit Optimization, and Synthesis of Novel COVID-19 S-RBD Domain Inhibitors.",Journal of Chemical Information and Modeling, JCIM 2024 64 (22), 8562-8585. DOI: 10.1021/acs.jcim.4c01110
K. Pliatsika, I. Gkekas, S. Mylonas, S. Katsamakas, E. Pechlivani, L. J. Berg, A. Axenopoulos, B. van de Warrenburg, K. Xanthopoulos, P. Daras, M. Peitz, S. Petrakis, "An AI-predicted chemical compound suppresses ATXN1 protein aggregation and rescues iNSC-derived SCA1 neurons from cell death.",International Congress for Ataxia Research, ICAR 2024, November 2024, London, UK.
A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, A. Agathangelidis, K. Stamatopoulos, P. Daras, "DeepSurf2.0: A Deep Learning Approach for Predicting Interactions of B Cell Receptors With Antigens.", Blood, 203, San Diego, California, 9-12 December 2023, (accepted).
A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, A. Agathangelidis, K. Stamatopoulos , P. Daras, "DeepSurf2. 0: A Deep Learning Approach for Predicting Interactions of B Cell Receptors with Antigens.", Blood 142 (2023): 3930.

Contact

Dr. Apostolos Axenopoulos

Building A - Office 2.5

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257801
Fax: +30 2310 474128
Email: axenop@iti.gr