A computational drug design strategy against the Yellow Fever Virus helicase
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DOI: https://doi.org/10.14806/ej.26.A.994
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Eleni Papakonstantinou
Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens
Greece
Katerina Pierouli
Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens
Greece
Dimitrios Vlachakis
1. Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens, Greece.
2. Laboratory of Molecular Endocrinology, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
3. School of Informatics, Faculty of Natural & Mathematical Sciences, King's College London, London, U.K.
George N. Goulielmos
Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, Heraklion 71003
Greece
Elias Eliopoulos
Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens
Greece
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