{"title":"通过中医见解和计算机筛选发现和验证肺纤维化的新药物组合","authors":"Haiting Yan , Ping Yuan , Beibei He , Hua Ye","doi":"10.1016/j.compbiolchem.2025.108660","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Pulmonary fibrosis is a chronic interstitial lung disease that poses a serious threat to human health. The multi-target actions and favorable safety profile of Traditional Chinese Medicine (TCM) offer new therapeutic possibilities.</div></div><div><h3>Methods</h3><div>We implemented an integrated strategy combining clinical expertise, computer-aided drug design (CADD), and TCM GuiJing theory for novel formula discovery. The interactions between TCM and disease targets were verified by molecular docking and molecular dynamics (MD) simulations. Furthermore, the efficacy of the newly discovered formulas was demonstrated by their correlation with ameliorated changes in the intestinal flora.</div></div><div><h3>Results</h3><div>The core medicines used by famous doctors was Huangqi, and 69 groups of Huangqi-containing herb pairs were obtained. Using lung, heart, and spleen meridians as screening conditions, and by integrating the study of disease targets and compounds, the Huangqi-Gancao, Huangqi-Yinyanghuo, Huangqi-Ziwan, Huangqi-Tinglizi, and Huangqi-Mahuang pairs were identified as components of the potential new formula. All 95 molecular docking complexes exhibited favorable binding energies (ΔG ≤ −5.0 kcal/mol), and molecular dynamics stability was further determined. Moreover, these herbs may also be anti-pulmonary fibrosis by modulating the composition of gut microbiota, increasing Akkermansia abundance, and improving nicotinate and nicotinamide metabolism.</div></div><div><h3>Conclusion</h3><div>We establish an integrated TCM-GuiJing-CADD framework for the precision discovery of anti-fibrotic drug combinations. This strategy synthesizes clinical experience, CADD, and the GuiJing theory, providing a theoretical support for the precise application of TCM in treating complex diseases.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"120 ","pages":"Article 108660"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovery and validation of novel drug combinations for pulmonary fibrosis via Traditional Chinese Medicine insights and computer screening\",\"authors\":\"Haiting Yan , Ping Yuan , Beibei He , Hua Ye\",\"doi\":\"10.1016/j.compbiolchem.2025.108660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Pulmonary fibrosis is a chronic interstitial lung disease that poses a serious threat to human health. The multi-target actions and favorable safety profile of Traditional Chinese Medicine (TCM) offer new therapeutic possibilities.</div></div><div><h3>Methods</h3><div>We implemented an integrated strategy combining clinical expertise, computer-aided drug design (CADD), and TCM GuiJing theory for novel formula discovery. The interactions between TCM and disease targets were verified by molecular docking and molecular dynamics (MD) simulations. Furthermore, the efficacy of the newly discovered formulas was demonstrated by their correlation with ameliorated changes in the intestinal flora.</div></div><div><h3>Results</h3><div>The core medicines used by famous doctors was Huangqi, and 69 groups of Huangqi-containing herb pairs were obtained. Using lung, heart, and spleen meridians as screening conditions, and by integrating the study of disease targets and compounds, the Huangqi-Gancao, Huangqi-Yinyanghuo, Huangqi-Ziwan, Huangqi-Tinglizi, and Huangqi-Mahuang pairs were identified as components of the potential new formula. All 95 molecular docking complexes exhibited favorable binding energies (ΔG ≤ −5.0 kcal/mol), and molecular dynamics stability was further determined. Moreover, these herbs may also be anti-pulmonary fibrosis by modulating the composition of gut microbiota, increasing Akkermansia abundance, and improving nicotinate and nicotinamide metabolism.</div></div><div><h3>Conclusion</h3><div>We establish an integrated TCM-GuiJing-CADD framework for the precision discovery of anti-fibrotic drug combinations. This strategy synthesizes clinical experience, CADD, and the GuiJing theory, providing a theoretical support for the precise application of TCM in treating complex diseases.</div></div>\",\"PeriodicalId\":10616,\"journal\":{\"name\":\"Computational Biology and Chemistry\",\"volume\":\"120 \",\"pages\":\"Article 108660\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Biology and Chemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1476927125003214\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125003214","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Discovery and validation of novel drug combinations for pulmonary fibrosis via Traditional Chinese Medicine insights and computer screening
Background
Pulmonary fibrosis is a chronic interstitial lung disease that poses a serious threat to human health. The multi-target actions and favorable safety profile of Traditional Chinese Medicine (TCM) offer new therapeutic possibilities.
Methods
We implemented an integrated strategy combining clinical expertise, computer-aided drug design (CADD), and TCM GuiJing theory for novel formula discovery. The interactions between TCM and disease targets were verified by molecular docking and molecular dynamics (MD) simulations. Furthermore, the efficacy of the newly discovered formulas was demonstrated by their correlation with ameliorated changes in the intestinal flora.
Results
The core medicines used by famous doctors was Huangqi, and 69 groups of Huangqi-containing herb pairs were obtained. Using lung, heart, and spleen meridians as screening conditions, and by integrating the study of disease targets and compounds, the Huangqi-Gancao, Huangqi-Yinyanghuo, Huangqi-Ziwan, Huangqi-Tinglizi, and Huangqi-Mahuang pairs were identified as components of the potential new formula. All 95 molecular docking complexes exhibited favorable binding energies (ΔG ≤ −5.0 kcal/mol), and molecular dynamics stability was further determined. Moreover, these herbs may also be anti-pulmonary fibrosis by modulating the composition of gut microbiota, increasing Akkermansia abundance, and improving nicotinate and nicotinamide metabolism.
Conclusion
We establish an integrated TCM-GuiJing-CADD framework for the precision discovery of anti-fibrotic drug combinations. This strategy synthesizes clinical experience, CADD, and the GuiJing theory, providing a theoretical support for the precise application of TCM in treating complex diseases.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.