Comprehensive survey of target prediction web servers for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is characterized by multi-components, multiple targets, and complex mechanisms of action and therefore has significant advantages in treating diseases. However, the clinical application of TCM prescriptions is limited due to the difficulty in elucidating the effect...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023063594 |
| _version_ | 1797732869332795392 |
|---|---|
| author | Xia Ren Chun-Xiao Yan Run-Xiang Zhai Kuo Xu Hui Li Xian-Jun Fu |
| author_facet | Xia Ren Chun-Xiao Yan Run-Xiang Zhai Kuo Xu Hui Li Xian-Jun Fu |
| author_sort | Xia Ren |
| collection | DOAJ |
| description | Traditional Chinese medicine (TCM) is characterized by multi-components, multiple targets, and complex mechanisms of action and therefore has significant advantages in treating diseases. However, the clinical application of TCM prescriptions is limited due to the difficulty in elucidating the effective substances and the lack of current scientific evidence on the mechanisms of action. In recent years, the development of network pharmacology based on drug systems research has provided a new approach for understanding the complex systems represented by TCM. The determination of drug targets is the core of TCM network pharmacology research. Over the past years, many web tools for drug targets with various features have been developed to facilitate target prediction, significantly promoting drug discovery. Therefore, this review introduces the widely used web tools for compound-target interaction prediction databases and web resources in TCM pharmacology research, and it compares and analyzes each web tool based on their basic properties, including the underlying theory, algorithms, datasets, and search results. Finally, we present the remaining challenges for the promising future of compound-target interaction prediction in TCM pharmacology research. This work may guide researchers in choosing web tools for target prediction and may also help develop more TCM tools based on these existing resources. |
| first_indexed | 2024-03-12T12:20:44Z |
| format | Article |
| id | doaj.art-8854d0842a554dde8f206b503e641da1 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-12T12:20:44Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-8854d0842a554dde8f206b503e641da12023-08-30T05:53:53ZengElsevierHeliyon2405-84402023-08-0198e19151Comprehensive survey of target prediction web servers for Traditional Chinese MedicineXia Ren0Chun-Xiao Yan1Run-Xiang Zhai2Kuo Xu3Hui Li4Xian-Jun Fu5Shandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, ChinaShandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, ChinaShandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, ChinaShandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, ChinaShandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, ChinaShandong University of Traditional Chinese Medicine, Jinan 250355, China; Marine traditional Chinese medicine r research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266114, China; Shandong Engineering and Technology Research Center of Traditional Chinese Medicine, Jinan 250355, China; Corresponding author. Marine traditional Chinese medicine research center, Qingdao Academy of Traditional Chinese medicine, Shandong University of Traditional Chinese Medicine, 4566 HeDong Road, Qingdao 266114, China.Traditional Chinese medicine (TCM) is characterized by multi-components, multiple targets, and complex mechanisms of action and therefore has significant advantages in treating diseases. However, the clinical application of TCM prescriptions is limited due to the difficulty in elucidating the effective substances and the lack of current scientific evidence on the mechanisms of action. In recent years, the development of network pharmacology based on drug systems research has provided a new approach for understanding the complex systems represented by TCM. The determination of drug targets is the core of TCM network pharmacology research. Over the past years, many web tools for drug targets with various features have been developed to facilitate target prediction, significantly promoting drug discovery. Therefore, this review introduces the widely used web tools for compound-target interaction prediction databases and web resources in TCM pharmacology research, and it compares and analyzes each web tool based on their basic properties, including the underlying theory, algorithms, datasets, and search results. Finally, we present the remaining challenges for the promising future of compound-target interaction prediction in TCM pharmacology research. This work may guide researchers in choosing web tools for target prediction and may also help develop more TCM tools based on these existing resources.http://www.sciencedirect.com/science/article/pii/S2405844023063594Target predictionNature productTraditional Chinese medicineWeb toolsDatabases |
| spellingShingle | Xia Ren Chun-Xiao Yan Run-Xiang Zhai Kuo Xu Hui Li Xian-Jun Fu Comprehensive survey of target prediction web servers for Traditional Chinese Medicine Heliyon Target prediction Nature product Traditional Chinese medicine Web tools Databases |
| title | Comprehensive survey of target prediction web servers for Traditional Chinese Medicine |
| title_full | Comprehensive survey of target prediction web servers for Traditional Chinese Medicine |
| title_fullStr | Comprehensive survey of target prediction web servers for Traditional Chinese Medicine |
| title_full_unstemmed | Comprehensive survey of target prediction web servers for Traditional Chinese Medicine |
| title_short | Comprehensive survey of target prediction web servers for Traditional Chinese Medicine |
| title_sort | comprehensive survey of target prediction web servers for traditional chinese medicine |
| topic | Target prediction Nature product Traditional Chinese medicine Web tools Databases |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023063594 |
| work_keys_str_mv | AT xiaren comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine AT chunxiaoyan comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine AT runxiangzhai comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine AT kuoxu comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine AT huili comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine AT xianjunfu comprehensivesurveyoftargetpredictionwebserversfortraditionalchinesemedicine |