| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T1 |
0-110 |
DRI_Approach |
denotes |
Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV. |
| T2 |
111-264 |
DRI_Background |
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. |
| T3 |
265-422 |
DRI_Background |
denotes |
This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein. |
| T4 |
423-637 |
DRI_Background |
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. |
| T5 |
638-777 |
DRI_Approach |
denotes |
We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein. |
| T6 |
778-1022 |
DRI_Approach |
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. |
| T7 |
1023-1127 |
DRI_FutureWork |
denotes |
Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines. |
