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Feature-BasedAnalysis of MS2 Data Revealsa Skeleton-Level Chemical Space and Enables Discovery of Sesquiterpeneswith Unprecedented Skeletons
| Title: | Feature-BasedAnalysis of MS2 Data Revealsa Skeleton-Level Chemical Space and Enables Discovery of Sesquiterpeneswith Unprecedented Skeletons | Authors: | Shu, Chenlan; Huang, Wanyu; Yu, Zhuohao; Bao, Wentao; Tang, Chunping; Liao, Cangsong; Yang, Yue; Yuan, Jie; Zhu, Dafu; Ke, Changqiang; | Issue Date: | 2026 | Publication: | ANALYTICAL CHEMISTRY | ISSN: | 0003-2700 Analytical Chemistry Search Idenfier |
Type: | Article | Collation: | vol. 98 br. 34 str. 25042-25051 | DOI: | 10.1021/acs.analchem.6c02912 | WoS-ID: | 001853669200001 | Scopus-ID: | 2-s2.0-105050117073 | URI: | https://enauka.gov.rs/handle/123456789/1052152 | Project: | National Natural Science Foundation of China [82373827] International Science and Technology Cooperation Programme [2024YFE0117200] National Key Research and Development Program of China [2022YFE0203600] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21aM21a |
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