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Hemorrhagic Fever Virus, Crimean-Congo

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Introducing of an integrated artificial neural network and Chou's pseudo amino acid composition approach for computational epitope-mapping of Crimean-Congo haemorrhagic fever virus antigens.

International immunopharmacology 31776090
This study was aimed to introduce a novel algorithm for determining linear B- and T-cell epitopes from Crimean-Congo haemorrhagic fever virus (CCHFV) antigens. To this end, 387 approved B- and T-cell epitopes, as well as 331 non-epitope peptides from...
Amino Acid Sequence Antigens, Viral Computational Biology Datasets as Topic Epitope Mapping Epitopes, B-Lymphocyte Epitopes, T-Lymphocyte Hemorrhagic Fever Virus, Crimean-Congo Hemorrhagic Fever, Crimean Histocompatibility Antigens Class II Humans Molecular Docking Simulation Neural Networks, Computer Peptide Library Protein Structure, Tertiary Support Vector Machine Viral Proteins
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