HerbComb: An integrated database for the discovery of novel combinational therapies from herbal medicines

Drug combinations have gained increasing interest due to their potential for optimal efficacy and for overcoming drug resistance. Herbal medicine is a complex system with multiple ingredients and has illustrated apparent therapeutic effects through thousands of years of clinical experience, offering a rich resource for combinational therapies. However, the underlying mechanisms of their synergistic therapeutic effects in disease treatment remain obscure for most herbal medicines. To fill this gap, we developed an integrated database, HerbComb (https://herbcomb.com/), to discover combinatorial therapies in herbal medicine, featuring three unique functions: drug prepositioning, customized combinatorial analysis, and biological and pharmacological features. Additionally, transcriptional gene signatures and ADMET properties were also interrogated as interactive functionalities to facilitate combinational analysis. Using Tongxinluo for Stroke as a case study, we identified and validated Oleanolic acid and Ferulic acid as synergistic ingredients. In summary, HerbComb is a versatile data exploration platform designed to characterize synergistic interactions among herbal medicines, enhance understanding of synergistic mechanisms, and facilitate the discovery of effective drug combinations.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2025-01-01
DOI
https://doi.org/10.1016/j.csbj.2025.10.065
Primary Topic
Biochemical Acid Research Studies
Type
article
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article

HerbComb: An integrated database for the discovery of novel combinational therapies from herbal medicines

Yinyin Wang, Xiang Luo, Xiaochuang Xu, Tao Yang et al.
Computational and Structural Biotechnology Journal
Biochemical Acid Research Studies
article

HerbComb: An integrated database for the discovery of novel combinational therapies from herbal medicines

Yinyin Wang, Xiang Luo, Xiaochuang Xu, Tao Yang, Fengshan Yu, Ning‐Hua Tan, Yunqing Zhang, Samuel K. Lai, Jing Tang, Lin Cao, Rui Liu, Jiaqi Yao, C. X. Yue, Yun Tang, Hao Liu, Boon Seng Kho
article en

Abstract

Drug combinations have gained increasing interest due to their potential for optimal efficacy and for overcoming drug resistance. Herbal medicine is a complex system with multiple ingredients and has illustrated apparent therapeutic effects through thousands of years of clinical experience, offering a rich resource for combinational therapies. However, the underlying mechanisms of their synergistic therapeutic effects in disease treatment remain obscure for most herbal medicines. To fill this gap, we developed an integrated database, HerbComb (https://herbcomb.com/), to discover combinatorial therapies in herbal medicine, featuring three unique functions: drug prepositioning, customized combinatorial analysis, and biological and pharmacological features. Additionally, transcriptional gene signatures and ADMET properties were also interrogated as interactive functionalities to facilitate combinational analysis. Using Tongxinluo for Stroke as a case study, we identified and validated Oleanolic acid and Ferulic acid as synergistic ingredients. In summary, HerbComb is a versatile data exploration platform designed to characterize synergistic interactions among herbal medicines, enhance understanding of synergistic mechanisms, and facilitate the discovery of effective drug combinations.

Computational and Structural Biotechnology JournalVol. 27
Nanjing University of Chinese Medicine (CN), University of Helsinki (FI), East China University of Science and Technology (CN), China Pharmaceutical University (CN), Wuhan College (CN)
Openalex Percentile: Top 68%
Biochemical Acid Research Studies
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