Literature DB >> 27863030

Integration of Multiple Analytical and Computational Tools for the Discovery of High-Potency Enzyme Inhibitors from Herbal Medicines.

Hui-Peng Song1, Hong Wang1, Jin-Xiu Liang1, Cheng Qian1, Si-Qi Wu1, Wen-Jun Xu1, Bin Wu1, Xin-Guang Liu1, Ping Li1, Hua Yang1.   

Abstract

Herbal medicines (HMs) are an important source of drugs. In this study, an efficient strategy integrating ultrafiltration LC-MS, microplate bioassays, and molecular docking was proposed to screen high-potency enzyme inhibitors from HMs. Using this strategy, the structure-activity relationships (SARs) including binding-affinity-based SAR, enzymatic-activity-based SAR, and structural-complementarity-based SAR of compounds in an HM can be analyzed to provide abundant information for drug discovery. A prominent advantage of the approach is that it offers a multidimensional perspective to understand enzyme-ligand interactions, which could help to avoid false-positive screening results brought by a single method. By using xanthine oxidase (XOD) as an illustrative case, two types of potent XOD inhibitors, including flavones and coumarins, were successfully screened out from an HM of Ginkgo biloba. The study is expected to set a solid foundation for multidisciplinary cooperation in drug discovery.
© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  drug discovery; lead compounds; liquid chromatography; natural products; structure-activity relationships

Mesh:

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Year:  2016        PMID: 27863030     DOI: 10.1002/cmdc.201600489

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  2 in total

1.  A rapid strategy for screening high-efficiency PCSK9 inhibitors from Ginkgo biloba leaves by ligand fishing, HPLC-Q-TOF-MS and interdisciplinary assay.

Authors:  Li Li; Meng-Lin Fan; Ya-Nan Li; Ya-Xuan Huang; Xiu-Feng Liu; Ji-Hua Liu
Journal:  J Food Drug Anal       Date:  2020-06-15       Impact factor: 6.157

2.  28-Day Oral Chronic Toxicity Study of Arctigenin in Rats.

Authors:  Yu-Jun Tan; Yu-Shan Ren; Lei Gao; Lan-Fang Li; Li-Juan Cui; Bin Li; Xin Li; Jian Yang; Ming-Zhi Wang; Yuan-Yuan Lv; Xiao-Li Xu; Jing-Chun Yao; Zhong Liu; Gui-Min Zhang; Jie Li
Journal:  Front Pharmacol       Date:  2018-09-26       Impact factor: 5.810

  2 in total

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