Immunodominant regions prediction of nucleocapsid protein for SARS-CoV-2 early diagnosis: a bioinformatics and immunoinformatics study
Yufeng Dai, Hongzhi Chen, Siqi Zhuang, Xiaojing Feng, Yiyuan Fang, Haoneng Tang, Ruchun Dai, Lingli Tang, Jun Liu, Tianmin Ma, Guangming Zhong
Abstract
were predicted to be the potential immunodominant regions, which contain both predicted linear B-cell epitopes and murine MHC class II binding epitopes. These three regions exhibited good surface accessibility and hydrophilicity. All were forecasted to be non-allergen and non-toxic. The final construct was built based on the bioinformatics analysis, which could help to develop an antigen-capture system for the early diagnosis of SARS-CoV-2.
Topics & Concepts
ImmunogenicityEpitopeVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)AntigenBiologyComputational biologyAntibodyMHC class ICoronavirus disease 2019 (COVID-19)ImmunologyMajor histocompatibility complexMedicineInfectious disease (medical specialty)DiseasePathologyvaccines and immunoinformatics approachesSARS-CoV-2 and COVID-19 ResearchMonoclonal and Polyclonal Antibodies Research