AIMC Topic: 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 Nov 24, 2019
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...
Humans Neural Networks, Computer Epitopes, T-Lymphocyte Molecular Docking Simulation Peptide Library Computational Biology Support Vector Machine Amino Acid Sequence Datasets as Topic Viral Proteins Antigens, Viral Protein Structure, Tertiary Histocompatibility Antigens Class II Epitopes, B-Lymphocyte Epitope Mapping Hemorrhagic Fever Virus, Crimean-Congo Hemorrhagic Fever, Crimean
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