Computational and artificial intelligence-guided discovery of potential therapeutic candidates targeting Ml0099 protein of Mycobacterium leprae
- DOI
- 10.1016/j.compbiolchem.2026.109329
- Published
- 2026-12
- Container
- Computational Biology and Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109329,
title = {Computational and artificial intelligence-guided discovery of potential therapeutic candidates targeting Ml0099 protein of Mycobacterium leprae},
author = {Sushil Kumar Shukla and Amit Singh and Arbind Kumar},
year = {2026},
journal = {Computational Biology and Chemistry},
doi = {10.1016/j.compbiolchem.2026.109329},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109329}
}RIS
TY - JOUR TI - Computational and artificial intelligence-guided discovery of potential therapeutic candidates targeting Ml0099 protein of Mycobacterium leprae AU - Sushil Kumar Shukla AU - Amit Singh AU - Arbind Kumar PY - 2026 JO - Computational Biology and Chemistry DO - 10.1016/j.compbiolchem.2026.109329 UR - https://doi.org/10.1016/j.compbiolchem.2026.109329 ER -
APA
Shukla, S. K., Singh, A., & Kumar, A. (2026). Computational and artificial intelligence-guided discovery of potential therapeutic candidates targeting Ml0099 protein of Mycobacterium leprae. Computational Biology and Chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109329
Source records
- crossref · retrieved 2026-09-25T21:58:45.129Z