Προσφατες Δημοσιεύσεις

Εμφάνιση όλων (7)

• 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.
• S. Mylonas, A. Axenopoulos, P. Daras, "SHREC 2022: Protein–ligand binding site recognition", Computers & Graphics Volume 107, October 2022, Pages 20-31.
• S. Mylonas, A. Axenopoulos, P. Daras, "DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins",Bioinformatics Journal, 2021, Accepted for publication . https://arxiv.org/pdf/2002.05643
• S. Mylonas, A. Axenopoulos, S. Katsamakas, I. Gkekas, K. Stamatopoulos, S. Petrakis, P. Daras, "Deep Learning-assisted Pipeline for Virtual Screening of Ligand Compound Databases: Application on Inhibiting the Entry of SARS-CoV-2 into Human Cells", in 20th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE), USA, October 26-28, 2020.