TY  - JOUR
AU  - Santiago, Jhunel V.
AU  - Tan, Cynthia G.
PY  - 2026
DA  - 2026/06/29
TI  - A Comparative Analysis of the Gene Sequences, Structural Models and Identification of Candidate Epitope of Dengue Envelope Protein Domain III
JO  - Biomedical Informatics and Smart Healthcare
T2  - Biomedical Informatics and Smart Healthcare
JF  - Biomedical Informatics and Smart Healthcare
VL  - 2
IS  - 2
SP  - 98
EP  - 107
DO  - 10.62762/BISH.2026.340536
UR  - https://www.icck.org/article/abs/BISH.2026.340536
KW  - dengue virus
KW  - serotypes
KW  - envelope protein domain III
KW  - epitope prediction
KW  - conserved sequences
AB  - Dengue is a major public health concern in tropical and subtropical regions worldwide. The World Health Organization (WHO) classifies dengue as an endemic disease in more than 125 countries, with approximately 75% of the affected population residing in the Asia-Pacific region, including the Philippines. This study aimed to compare and analyze the four-dengue virus (DENV) serotypes in terms of gene and protein sequence alignment, structural modeling, and identification of candidate epitopes within envelope protein domain III (E-DIII). The DENV E-DIII region plays a critical role in host-cell interaction and is considered a promising immunogenic target for the development of dengue subunit vaccines and diagnostic tools. Bioinformatics tools were employed for gene and protein sequence alignment, protein structure prediction, structural annotation, and peptide analysis. Conserved and variable regions among the four DENV serotypes were identified and analyzed using multiple epitope prediction methods. The study computationally predicted two candidate linear epitope regions: discriminatory residues from K16–T25 and non-discriminatory residues from N72–E81 or N72–D81. These peptide regions were predicted to be non-toxic, non-glycosylated, and exhibited average to high scores across multiple epitope prediction algorithms. The findings provide insights into the structural and sequence characteristics of DENV E-DIII and contribute to the identification of potential peptide targets for future dengue antigen and vaccine development.
SN  - 3068-5524
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Santiago2026A,
  author = {Jhunel V. Santiago and Cynthia G. Tan},
  title = {A Comparative Analysis of the Gene Sequences, Structural Models and Identification of Candidate Epitope of Dengue Envelope Protein Domain III},
  journal = {Biomedical Informatics and Smart Healthcare},
  year = {2026},
  volume = {2},
  number = {2},
  pages = {98-107},
  doi = {10.62762/BISH.2026.340536},
  url = {https://www.icck.org/article/abs/BISH.2026.340536},
  abstract = {Dengue is a major public health concern in tropical and subtropical regions worldwide. The World Health Organization (WHO) classifies dengue as an endemic disease in more than 125 countries, with approximately 75\% of the affected population residing in the Asia-Pacific region, including the Philippines. This study aimed to compare and analyze the four-dengue virus (DENV) serotypes in terms of gene and protein sequence alignment, structural modeling, and identification of candidate epitopes within envelope protein domain III (E-DIII). The DENV E-DIII region plays a critical role in host-cell interaction and is considered a promising immunogenic target for the development of dengue subunit vaccines and diagnostic tools. Bioinformatics tools were employed for gene and protein sequence alignment, protein structure prediction, structural annotation, and peptide analysis. Conserved and variable regions among the four DENV serotypes were identified and analyzed using multiple epitope prediction methods. The study computationally predicted two candidate linear epitope regions: discriminatory residues from K16–T25 and non-discriminatory residues from N72–E81 or N72–D81. These peptide regions were predicted to be non-toxic, non-glycosylated, and exhibited average to high scores across multiple epitope prediction algorithms. The findings provide insights into the structural and sequence characteristics of DENV E-DIII and contribute to the identification of potential peptide targets for future dengue antigen and vaccine development.},
  keywords = {dengue virus, serotypes, envelope protein domain III, epitope prediction, conserved sequences},
  issn = {3068-5524},
  publisher = {Institute of Central Computation and Knowledge}
}