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Peer-reviewedLicence not statedIn Silico Pharmacology

Integrated immunoinformatics and molecular dynamics approaches reveal a promising multi-epitope vaccine against hantavirus

  • Shahid Ullah1
  • Alex Tonks2
  • Carlos Eliel Maya-Ramírez3
  • Sabahat Abdullah4
  • Shahzad Khalil5
  • Tasnim Jahan Tonni6
  • Md Mahmudul Hasan7
  • Abbas Ahmad1,8
8 affiliations
  1. 1Department of Research and Development, Apoptra Discovery Limited, Cardiff, Wales, UK
  2. 2Department of Hematology, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK
  3. 3Laboratorio de Química Supramolecular y Nanociencias, Unidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional, Ciudad de México, Mexico
  4. 4Shantou University Medical College, Shantou, China
  5. 5Institute of Biotechnology and Genetics engineering, Agriculture University, Peshawar, Pakistan
  6. 6Military Institute of Science and Technology, Dhaka, Bangladesh
  7. 7School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK
  8. 8Department of Biotechnology, Abdul Wali Khan University, Mardan, 23200 Khyber Pakhtunkhwa Pakistan
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Cite

BibTeXRIS
BibTeX
@article{ullah2026integrated,
  title = {{Integrated immunoinformatics and molecular dynamics approaches reveal a promising multi-epitope vaccine against hantavirus}},
  author = {Shahid Ullah and Alex Tonks and Carlos Eliel Maya-Ramírez and Sabahat Abdullah and Shahzad Khalil and Tasnim Jahan Tonni and Md Mahmudul Hasan and Abbas Ahmad},
  journal = {In Silico Pharmacology},
  year = {2026},
  month = oct,
  doi = {10.1007/s40203-026-00782-6},
  url = {https://doi.org/10.1007/s40203-026-00782-6},
}
RIS
TY  - JOUR
TI  - Integrated immunoinformatics and molecular dynamics approaches reveal a promising multi-epitope vaccine against hantavirus
AU  - Shahid Ullah
AU  - Alex Tonks
AU  - Carlos Eliel Maya-Ramírez
AU  - Sabahat Abdullah
AU  - Shahzad Khalil
AU  - Tasnim Jahan Tonni
AU  - Md Mahmudul Hasan
AU  - Abbas Ahmad
PY  - 2026
DA  - 2026/10/25
JO  - In Silico Pharmacology
DO  - 10.1007/s40203-026-00782-6
UR  - https://doi.org/10.1007/s40203-026-00782-6
SN  - 2193-9616
ER  -