A computational drug design strategy against the Yellow Fever Virus helicase

Authors

  • Eleni Papakonstantinou Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens
  • Katerina Pierouli Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens
  • 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
  • Elias Eliopoulos Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855, Athens

DOI:

https://doi.org/10.14806/ej.26.A.994

Keywords:

yellow fever virus, helicase, computational drug design, bioinformatics, antivirals
EJ 26.A

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Published

2021-07-08

Issue

Vol. 26: Supplement A

Section

Oral Presentations

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