Computational identification of EBNA1-binding candidates using machine learning-based virtual screening and molecular docking
- DOI
- 10.1007/s40203-026-00785-3
- Published
- 2026-11-02
- Container
- In Silico Pharmacology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s40203-026-00785-3,
title = {Computational identification of EBNA1-binding candidates using machine learning-based virtual screening and molecular docking},
author = {Akshata P. Pauskar and Elamathi Natarajan},
year = {2026},
journal = {In Silico Pharmacology},
doi = {10.1007/s40203-026-00785-3},
url = {https://doi.org/10.1007/s40203-026-00785-3}
}RIS
TY - JOUR TI - Computational identification of EBNA1-binding candidates using machine learning-based virtual screening and molecular docking AU - Akshata P. Pauskar AU - Elamathi Natarajan PY - 2026 JO - In Silico Pharmacology DO - 10.1007/s40203-026-00785-3 UR - https://doi.org/10.1007/s40203-026-00785-3 ER -
APA
Pauskar, A. P., & Natarajan, E. (2026). Computational identification of EBNA1-binding candidates using machine learning-based virtual screening and molecular docking. In Silico Pharmacology. https://doi.org/10.1007/s40203-026-00785-3
Source records
- crossref · retrieved 2026-11-05T12:29:09.075Z