Literature DB >> 31873010

Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery.

Thanh-Hoang Nguyen-Vo1, Loc Nguyen2, Nguyet Do2, Thien-Ngan Nguyen2, Khang Trinh2, Hung Cao3, Ly Le2,4.   

Abstract

Traditional herbal medicine has been an inseparable part of the traditional medical science in many countries throughout history. Nowadays, the popularity of using herbal medicines in daily life, as well as clinical practices, has gradually expanded to numerous Western countries with positive impacts and acceptance. The continuous growth of the herbal consumption market has promoted standardization and modernization of herbal-derived products with present pharmacological criteria. To store and extensively share this knowledge with the community and serve scientific research, various herbal metabolite databases have been developed with diverse focuses under the support of modern advances. The advent of these databases has contributed to accelerating research on pharmaceuticals of natural origins. In the scope of this study, we critically review 30 herbal metabolite databases, discuss different related perspectives, and provide a comparative analysis of 18 accessible noncommercial ones. We hope to provide you with fundamental information and multidimensional perspectives from herbal medicines to modern drug discovery.

Entities:  

Keywords:  Database; Druglikeness; Herbal metabolite; High throughput screening; Natural product; Reverse pharmacognosy; Traditional herbal medicines; Virtual screening

Mesh:

Year:  2020        PMID: 31873010     DOI: 10.1021/acs.jcim.9b00826

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

Review 1.  Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

Authors:  Vertika Gautam; Anand Gaurav; Neeraj Masand; Vannajan Sanghiran Lee; Vaishali M Patil
Journal:  Mol Divers       Date:  2022-07-11       Impact factor: 3.364

2.  In vitro efficacy of Capparis spinosa extraction against larvae viability of Echinococcus granulosus sensu stricto.

Authors:  Mingzhi Yan; Jintian Li; Hui Liu; Ning Yang; Jin Chu; Li Sun; Xiaojuan Bi; Renyong Lin; Guodong Lv
Journal:  J Vet Med Sci       Date:  2022-03-07       Impact factor: 1.267

3.  Virtual screening of phytochemicals from Indian medicinal plants against the endonuclease domain of SFTS virus L polymerase.

Authors:  R P Vivek-Ananth; Ajaya Kumar Sahoo; Ashutosh Srivastava; Areejit Samal
Journal:  RSC Adv       Date:  2022-02-22       Impact factor: 3.361

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.