Identification of potential SARS-CoV-2 M(pro) inhibitors from a Thai natural product database via interaction fingerprint-based virtual screening.

Chimprasit A, Bret G, Hannongbua S, Saparpakorn P, Rognan D

Open source

DOI
10.1007/s10822-026-00941-z
Published
2026 Sep 18
Container
Journal of computer-aided molecular design
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s10822-026-00941-z,
  title = {Identification of potential SARS-CoV-2 M(pro) inhibitors from a Thai natural product database via interaction fingerprint-based virtual screening.},
  author = {Chimprasit A and Bret G and Hannongbua S and Saparpakorn P and Rognan D},
  year = {2026},
  journal = {Journal of computer-aided molecular design},
  doi = {10.1007/s10822-026-00941-z},
  url = {https://doi.org/10.1007/s10822-026-00941-z}
}

RIS

TY  - JOUR
TI  - Identification of potential SARS-CoV-2 M(pro) inhibitors from a Thai natural product database via interaction fingerprint-based virtual screening.
AU  - Chimprasit A
AU  - Bret G
AU  - Hannongbua S
AU  - Saparpakorn P
AU  - Rognan D
PY  - 2026
JO  - Journal of computer-aided molecular design
DO  - 10.1007/s10822-026-00941-z
UR  - https://doi.org/10.1007/s10822-026-00941-z
ER  - 

APA

A, C., G, B., S, H., P, S., & D, R. (2026). Identification of potential SARS-CoV-2 M(pro) inhibitors from a Thai natural product database via interaction fingerprint-based virtual screening.. Journal of computer-aided molecular design. https://doi.org/10.1007/s10822-026-00941-z

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