In silico approach in reveal traditional medicine plants pharmacological material basis
Abstract In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2018-06-01
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| Series: | Chinese Medicine |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13020-018-0190-0 |
| _version_ | 1818215767063134208 |
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| author | Fan Yi Li Li Li-jia Xu Hong Meng Yin-mao Dong Hai-bo Liu Pei-gen Xiao |
| author_facet | Fan Yi Li Li Li-jia Xu Hong Meng Yin-mao Dong Hai-bo Liu Pei-gen Xiao |
| author_sort | Fan Yi |
| collection | DOAJ |
| description | Abstract In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and network analysis have been widely utilized in efforts to elucidate the pharmacological basis of the functions of traditional medicinal plants. In the process of new drug discovery, the application of virtual screening and network pharmacology can enrich active compounds among the candidates and adequately indicate the mechanism of action of medicinal plants, reducing the cost and increasing the efficiency of the whole procedure. In this review, we first provide a detailed research routine for examining traditional medicinal plants by in silico techniques and elaborate on their theoretical principles. We also survey common databases, software programs and website tools that can be used for virtual screening and pharmacological network construction. Furthermore, we conclude with a simple example that illustrates the whole methodology, and we present perspectives on the development and application of this in silico methodology to reveal the pharmacological basis of the effects of traditional medicinal plants. |
| first_indexed | 2024-12-12T06:41:18Z |
| format | Article |
| id | doaj.art-c9df8b46c7de4b3b93f3036bb99c3789 |
| institution | Directory Open Access Journal |
| issn | 1749-8546 |
| language | English |
| last_indexed | 2024-12-12T06:41:18Z |
| publishDate | 2018-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Chinese Medicine |
| spelling | doaj.art-c9df8b46c7de4b3b93f3036bb99c37892022-12-22T00:34:20ZengBMCChinese Medicine1749-85462018-06-0113112010.1186/s13020-018-0190-0In silico approach in reveal traditional medicine plants pharmacological material basisFan Yi0Li Li1Li-jia Xu2Hong Meng3Yin-mao Dong4Hai-bo Liu5Pei-gen Xiao6Key Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business UniversityKey Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business UniversityInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, BeijingKey Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business UniversityKey Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business UniversityInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, BeijingInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, BeijingAbstract In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and network analysis have been widely utilized in efforts to elucidate the pharmacological basis of the functions of traditional medicinal plants. In the process of new drug discovery, the application of virtual screening and network pharmacology can enrich active compounds among the candidates and adequately indicate the mechanism of action of medicinal plants, reducing the cost and increasing the efficiency of the whole procedure. In this review, we first provide a detailed research routine for examining traditional medicinal plants by in silico techniques and elaborate on their theoretical principles. We also survey common databases, software programs and website tools that can be used for virtual screening and pharmacological network construction. Furthermore, we conclude with a simple example that illustrates the whole methodology, and we present perspectives on the development and application of this in silico methodology to reveal the pharmacological basis of the effects of traditional medicinal plants.http://link.springer.com/article/10.1186/s13020-018-0190-0Traditional medicinal plantsVirtual screeningNetwork pharmacologyMedicinal plants information analyticsPharmacological basis |
| spellingShingle | Fan Yi Li Li Li-jia Xu Hong Meng Yin-mao Dong Hai-bo Liu Pei-gen Xiao In silico approach in reveal traditional medicine plants pharmacological material basis Chinese Medicine Traditional medicinal plants Virtual screening Network pharmacology Medicinal plants information analytics Pharmacological basis |
| title | In silico approach in reveal traditional medicine plants pharmacological material basis |
| title_full | In silico approach in reveal traditional medicine plants pharmacological material basis |
| title_fullStr | In silico approach in reveal traditional medicine plants pharmacological material basis |
| title_full_unstemmed | In silico approach in reveal traditional medicine plants pharmacological material basis |
| title_short | In silico approach in reveal traditional medicine plants pharmacological material basis |
| title_sort | in silico approach in reveal traditional medicine plants pharmacological material basis |
| topic | Traditional medicinal plants Virtual screening Network pharmacology Medicinal plants information analytics Pharmacological basis |
| url | http://link.springer.com/article/10.1186/s13020-018-0190-0 |
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