PubMed:32022276 JSONTXT 16 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-110 Sentence denotes Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.
TextSentencer_T2 111-264 Sentence denotes The 2019 novel coronavirus (2019-nCoV) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide, especially in East Asia.
TextSentencer_T3 265-422 Sentence denotes This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein.
TextSentencer_T4 423-637 Sentence denotes Also, interactions between identified CTL epitopes and their corresponding major histocompatibility complex (MHC) class I supertype representatives prevalent in China were studied by molecular dynamics simulations.
TextSentencer_T5 638-777 Sentence denotes We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein.
TextSentencer_T6 778-1022 Sentence denotes Also, during simulations, the CTL epitopes were observed to be binding MHC class I peptide-binding grooves via multiple contacts, with continuous hydrogen bonds and salt bridge anchors, indicating their potential in generating immune responses.
TextSentencer_T7 1023-1127 Sentence denotes Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines.