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McKenzie GAG, Hinsley EE, Hunter K, Lambert DW. The endothelin axis in head and neck cancer: a promising therapeutic opportunity? J Oral Pathol Med 2013; 43:395-404. [DOI: 10.1111/jop.12108] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2013] [Indexed: 12/14/2022]
Affiliation(s)
- Gordon A. G. McKenzie
- College of Medical and Dental Sciences; University of Birmingham; Edgbaston UK
- Unit of Oral and Maxillofacial Pathology; School of Clinical Dentistry; University of Sheffield; Sheffield UK
| | - Emma E. Hinsley
- Unit of Oral and Maxillofacial Pathology; School of Clinical Dentistry; University of Sheffield; Sheffield UK
| | - Keith Hunter
- Unit of Oral and Maxillofacial Pathology; School of Clinical Dentistry; University of Sheffield; Sheffield UK
| | - Daniel W. Lambert
- Unit of Oral and Maxillofacial Pathology; School of Clinical Dentistry; University of Sheffield; Sheffield UK
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Wang X, Xiang Y, Ren Z, Zhang Y, Qiao Y. Rational questing for inhibitors of endothelin converting enzyme-1 from Salvia miltiorrhiza by combining ligand- and structure-based virtual screening. CAN J CHEM 2013. [DOI: 10.1139/cjc-2012-0523] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
In this study, a virtual screening approach based on pharmacophore and molecular docking was proposed to identify endothelin converting enzyme-1 (ECE-1) (EC 3.4.24.71) inhibitors from Salvia miltiorrhiza. First, the pharmacophore models were generated to recognize the common features of the ECE-1 inhibitors. The models were validated by a test database composed by a set of compounds known as ECE-1 inhibitors and nonactive compounds and proven to be successful in discriminating active and inactive inhibitors. Then, the best pharmacophore model was used to screen the compounds from S. miltiorrhiza. Furthermore, the Surflex-Dock procedure was used for molecular docking. All compounds from S. miltiorrhiza were docked into the active site of the target protein. An empirical scoring function was used to evaluate the affinity of the compounds and the target protein. Comparing the virtual screening results based on pharmacophore and molecular docking, respectively, 11 communal compounds with higher QFIT and docking score were hit, and the activity of some compounds was validated in the literature. The binding modes between these compounds and the ECE-1 binding site were predicted and used to identify the key interactions that contribute to the inhibitory activity of ECE-1 activity. The results show that the two methods have good consistency and can be validated and supplemented with each other.
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Affiliation(s)
- Xing Wang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Yuhong Xiang
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Zhenzhen Ren
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Yanling Zhang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Yanjiang Qiao
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China
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