The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection
Open accessAbstract
Dengue is considered as a major health issue which causes a number of deaths worldwide each year; tropical countries are majorly affected by dengue outbreaks. It is considered as life threatening issue because, since many decades not a single effective approach for treatment and prevention of dengue has been developed. Therefore, to find new preventive measure, we used immunoinformatics approaches to develop a multi-epitope based subunit vaccine for dengue which can generate various immune responses inside the host. Different B-cell, T C cell, and T H cell binding epitopes were predicted for structural and non-structural proteins of dengue virus. Final vaccine constructs consisting of T C and T H cell epitopes and an adjuvant (β-defensin) at N-terminal of the construct. Presence of B-cell and IFN-γ inducing epitopes confirms the humoral and cell mediated immune response developed by designed vaccine. Designed vaccine was not found allergic and was potentially antigenic in nature. Modeling of tertiary structure and the refined model was used for molecular docking with TLR-3 (immune receptor). Molecular docking and dynamics simulation confirms the microscopic interactions between ligand and receptor. In silico cloning approach was used to ensure the expression and translation efficiency of vaccine within an expression vector.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The global distribution and burden of dengue
Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., et al. (2013) · Nature · doi:10.1038/nature12060 · Cited by 10,037
Protein Identification and Analysis Tools on the ExPASy Server
Gasteiger, E., Hoogland, C., Gattiker, A., Duvaud, S., Wilkins, M. R., Appel, R. D., & Bairoch, A. (2005) · The Proteomics Protocols Handbook · doi:10.1385/1-59259-890-0:571 · Cited by 8,681
Protein Identification and Analysis Tools in the ExPASy Server
Wilkins, M. R., Gasteiger, E., Bairoch, A., Sanchez, J.-C., Williams, K. L., Appel, R. D., & Hochstrasser, D. F. (2003) · 2-D Proteome Analysis Protocols · doi:10.1385/1-59259-584-7:531 · Cited by 6,155
Structure validation by Cα geometry: ϕ,ψ and Cβ deviation
Lovell, S. C., Davis, I. W., Arendall, W. B., de Bakker, P. I. W., Word, J. M., Prisant, M. G., Richardson, J. S., & Richardson, D. C. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10286 · Cited by 4,595
Dengue and Dengue Hemorrhagic Fever
Gubler, D. J. (1998) · Clinical Microbiology Reviews · doi:10.1128/cmr.11.3.480 · Cited by 4,310
Molecular dynamics simulations of biomolecules
Karplus, M., & McCammon, J. A. (2002) · Nature Structural Biology · doi:10.1038/nsb0902-646 · Cited by 3,386
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
Doytchinova, I. A., & Flower, D. R. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-4 · Cited by 2,983
ElliPro: a new structure-based tool for the prediction of antibody epitopes
Ponomarenko, J., Bui, H.-H., Li, W., Fusseder, N., Bourne, P. E., Sette, A., & Peters, B. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-514 · Cited by 1,731
Template-based protein structure modeling using the RaptorX web server
Källberg, M., Wang, H., Wang, S., Peng, J., Wang, Z., Lu, H., & Xu, J. (2012) · Nature Protocols · doi:10.1038/nprot.2012.085 · Cited by 1,597
Kuhn, R. J., Zhang, W., Rossmann, M. G., Pletnev, S. V., Corver, J., Lenches, E., Jones, C. T., Mukhopadhyay, S., Chipman, P. R., Strauss, E. G., et al. (2002) · Cell · doi:10.1016/s0092-8674(02)00660-8 · Cited by 1,563
Cited by
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study
Yang, Z., Bogdan, P., & Nazarian, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-81749-9 · Cited by 271
Application of built-in adjuvants for epitope-based vaccines
Lei, Y., Zhao, F., Shao, J., Li, Y., Li, S., Chang, H., & Zhang, Y. (2019) · PeerJ · doi:10.7717/peerj.6185 · Cited by 115
Artificial Intelligence Technologies for COVID-19 De Novo Drug Design
Floresta, G., Zagni, C., Gentile, D., Patamia, V., & Rescifina, A. (2022) · doi:10.20944/preprints202203.0032.v1 · Cited by 67
Kefayat, A., Ghahremani, F., Motaghi, H., & Mehrgardi, M. A. (2019) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2019.01.037 · Cited by 54
Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods
Bzówka, M., Bagrowska, W., & Góra, A. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00419 · Cited by 34
Metadata
- Authors
- Ali, M., Pandey, R. K., Khatoon, N., Narula, A., Mishra, A., & Prajapati, V. K.
- Venue
- Scientific Reports
- Published
- 2017-08-23
- Volume
- 7
- Issue
- 1
- Pages
- 9232-9232
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2748834817
- Cited by
- 388
- References
- 48
- FWCI
- 9.12
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection. https://app.cochat.ai/papers/10.1038/s41598-017-09199-w
- The paper
- Ali, M., Pandey, R. K., Khatoon, N., Narula, A., Mishra, A., & Prajapati, V. K. (2017). Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection. Scientific Reports. https://doi.org/10.1038/s41598-017-09199-w
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
