A Scalable, Traceable Computational‐to‐Experimental Pipeline for Activity‐Guided Identification of Bioactive Constituents: A Case Study in <i>Salvia miltiorrhiza</i> Bunge

Xin Wang, Zhenghuai Tan, Xiaojie Jin, Jun Hai, Dong Pei, Duo‐Long Di

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DOI: 10.1002/cbdv.71898
Published: 2026-11
Container: Chemistry & Biodiversity
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/cbdv.71898,
  title = {A Scalable, Traceable Computational‐to‐Experimental Pipeline for Activity‐Guided Identification of Bioactive Constituents: A Case Study in
                    <i>Salvia miltiorrhiza</i>
                    Bunge},
  author = {Xin Wang and Zhenghuai Tan and Xiaojie Jin and Jun Hai and Dong Pei and Duo‐Long Di},
  year = {2026},
  journal = {Chemistry \&amp; Biodiversity},
  doi = {10.1002/cbdv.71898},
  url = {https://doi.org/10.1002/cbdv.71898}
}

RIS

TY  - JOUR
TI  - A Scalable, Traceable Computational‐to‐Experimental Pipeline for Activity‐Guided Identification of Bioactive Constituents: A Case Study in
                    <i>Salvia miltiorrhiza</i>
                    Bunge
AU  - Xin Wang
AU  - Zhenghuai Tan
AU  - Xiaojie Jin
AU  - Jun Hai
AU  - Dong Pei
AU  - Duo‐Long Di
PY  - 2026
JO  - Chemistry &amp; Biodiversity
DO  - 10.1002/cbdv.71898
UR  - https://doi.org/10.1002/cbdv.71898
ER  -

APA

Wang, X., Tan, Z., Jin, X., Hai, J., Pei, D., & Di, D. (2026). A Scalable, Traceable Computational‐to‐Experimental Pipeline for Activity‐Guided Identification of Bioactive Constituents: A Case Study in <i>Salvia miltiorrhiza</i> Bunge. Chemistry & Biodiversity. https://doi.org/10.1002/cbdv.71898

Source records

crossref · retrieved 2026-11-05T19:37:27.120Z