215 related articles for article (PubMed ID: 38538674)
1. In silico designed novel multi-epitope mRNA vaccines against Brucella by targeting extracellular protein BtuB and LptD.
Shi J; Zhu Y; Yin Z; He Y; Li Y; Haimiti G; Xie X; Niu C; Guo W; Zhang F
Sci Rep; 2024 Mar; 14(1):7278. PubMed ID: 38538674
[TBL] [Abstract][Full Text] [Related]
2. A multi-epitope subunit vaccine based on CU/ZN-SOD, OMP31 and BP26 against Brucella melitensis infection in BALB/C mice.
Wang Y; Wu A; Xu Z; Zhang H; Li H; Fu S; Liu Y; Cui L; Miao Y; Wang Y; Zhumanov K; Xu Y; Sheng J; Yi J; Chen C
Int Immunopharmacol; 2024 Jan; 127():111351. PubMed ID: 38113688
[TBL] [Abstract][Full Text] [Related]
3. Prioritization of potential vaccine candidates and designing a multiepitope-based subunit vaccine against multidrug-resistant Salmonella Typhi str. CT18: A subtractive proteomics and immunoinformatics approach.
Chand Y; Singh S
Microb Pathog; 2021 Oct; 159():105150. PubMed ID: 34425197
[TBL] [Abstract][Full Text] [Related]
4. Development of a multi-epitope peptide vaccine inducing robust T cell responses against brucellosis using immunoinformatics based approaches.
Saadi M; Karkhah A; Nouri HR
Infect Genet Evol; 2017 Jul; 51():227-234. PubMed ID: 28411163
[TBL] [Abstract][Full Text] [Related]
5. Design of multi-epitope vaccine candidate against Brucella type IV secretion system (T4SS).
Yin Z; Li M; Niu C; Yu M; Xie X; Haimiti G; Guo W; Shi J; He Y; Ding J; Zhang F
PLoS One; 2023; 18(8):e0286358. PubMed ID: 37561685
[TBL] [Abstract][Full Text] [Related]
6. Immunoinformatic-guided designing of multi-epitope vaccine construct against Brucella Suis 1300.
Jalal K; Khan K; Uddin R
Immunol Res; 2023 Apr; 71(2):247-266. PubMed ID: 36459272
[TBL] [Abstract][Full Text] [Related]
7. Design of a multi-epitope vaccine candidate against Brucella melitensis.
Li M; Zhu Y; Niu C; Xie X; Haimiti G; Guo W; Yu M; Chen Z; Ding J; Zhang F
Sci Rep; 2022 Jun; 12(1):10146. PubMed ID: 35710873
[TBL] [Abstract][Full Text] [Related]
8. Exploring whole proteome to contrive multi-epitope-based vaccine for NeoCoV: An immunoinformtics and
Aziz S; Waqas M; Halim SA; Ali A; Iqbal A; Iqbal M; Khan A; Al-Harrasi A
Front Immunol; 2022; 13():956776. PubMed ID: 35990651
[TBL] [Abstract][Full Text] [Related]
9. Immunoinformatics and Reverse Vaccinology Driven Predication of a Multi-epitope Vaccine against
Hussain Z; Hayat C; Shahab M; Sikandar R; Bibi H; Kamil A; Zheng G; Liang C
Curr Pharm Des; 2023; 29(19):1504-1515. PubMed ID: 37073655
[TBL] [Abstract][Full Text] [Related]
10. Design of a new multi-epitope vaccine against
Chen Z; Zhu Y; Sha T; Li Z; Li Y; Zhang F; Ding J
Epidemiol Infect; 2021 May; 149():e136. PubMed ID: 34032200
[TBL] [Abstract][Full Text] [Related]
11. In silico design and validation of a novel multi-epitope vaccine candidate against structural proteins of Chikungunya virus using comprehensive immunoinformatics analyses.
Mahmoodi S; Amirzakaria JZ; Ghasemian A
PLoS One; 2023; 18(5):e0285177. PubMed ID: 37146081
[TBL] [Abstract][Full Text] [Related]
12. Modeling mRNA-based vaccine YFV.E1988 against yellow fever virus E-protein using immuno-informatics and reverse vaccinology approach.
Khan NT; Zinnia MA; Islam ABMMK
J Biomol Struct Dyn; 2023 Mar; 41(5):1617-1638. PubMed ID: 34994279
[TBL] [Abstract][Full Text] [Related]
13. A comprehensive screening of the whole proteome of hantavirus and designing a multi-epitope subunit vaccine for cross-protection against hantavirus: Structural vaccinology and immunoinformatics study.
Abdulla F; Nain Z; Hossain MM; Syed SB; Ahmed Khan MS; Adhikari UK
Microb Pathog; 2021 Jan; 150():104705. PubMed ID: 33352214
[TBL] [Abstract][Full Text] [Related]
14. Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus.
Fadaka AO; Sibuyi NRS; Martin DR; Goboza M; Klein A; Madiehe AM; Meyer M
Sci Rep; 2021 Oct; 11(1):19707. PubMed ID: 34611250
[TBL] [Abstract][Full Text] [Related]
15. MERS virus spike protein HTL-epitopes selection and multi-epitope vaccine design using computational biology.
Joshi A; Akhtar N; Sharma NR; Kaushik V; Borkotoky S
J Biomol Struct Dyn; 2023; 41(22):12464-12479. PubMed ID: 36935104
[TBL] [Abstract][Full Text] [Related]
16. An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.
Yang Z; Bogdan P; Nazarian S
Sci Rep; 2021 Feb; 11(1):3238. PubMed ID: 33547334
[TBL] [Abstract][Full Text] [Related]
17. Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches.
Dong R; Chu Z; Yu F; Zha Y
Front Immunol; 2020; 11():1784. PubMed ID: 32849643
[TBL] [Abstract][Full Text] [Related]
18. Design of multi-epitope based vaccine against
Nayak SS; Sethi G; Ramadas K
J Biomol Struct Dyn; 2023; 41(23):14116-14134. PubMed ID: 36775659
[TBL] [Abstract][Full Text] [Related]
19. A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant
Damas MSF; Mazur FG; Freire CCM; da Cunha AF; Pranchevicius MDS
Front Immunol; 2022; 13():768569. PubMed ID: 35371033
[No Abstract] [Full Text] [Related]
20. Excavating chikungunya genome to design B and T cell multi-epitope subunit vaccine using comprehensive immunoinformatics approach to control chikungunya infection.
Narula A; Pandey RK; Khatoon N; Mishra A; Prajapati VK
Infect Genet Evol; 2018 Jul; 61():4-15. PubMed ID: 29535024
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]