The catalytic activity for ginkgolic acid biodegradation, homology modeling and molecular dynamic simulation of salicylic acid decarboxylase. (August 2018)
- Record Type:
- Journal Article
- Title:
- The catalytic activity for ginkgolic acid biodegradation, homology modeling and molecular dynamic simulation of salicylic acid decarboxylase. (August 2018)
- Main Title:
- The catalytic activity for ginkgolic acid biodegradation, homology modeling and molecular dynamic simulation of salicylic acid decarboxylase
- Authors:
- Hu, Yanying
Hua, Qingyuan
Sun, Guojuan
Shi, Kunpeng
Zhang, Huitu
Zhao, Kai
Jia, Shiru
Dai, Yujie
Wu, Qingli - Abstract:
- Graphical abstract: Highlights: The salicylic acid decarboxylase (SDC) was found to have the activity to degradate ginkgolic acid. The SDC structure was constructed by homology modeling. The complexes of SDC with ligands were obtained by molecular docking and molecular dynamics. SDC may have a Zn 2+ catalytic active center according to the homology model structure and experiments. Abstract: The toxic ginkgolic acids are the main safety concern for the application of Ginkgo biloba . In this study, the degradation ability of salicylic acid decarboxylase (SDC) for ginkgolic acids was examined using ginkgolic acid C15:1 as a substrate. The results indicated that the content of ginkgolic acid C15:1 in Ginkgo biloba seeds was significantly decreased after 5 h treatment with SDC at 40 °Cand pH 5.5. In order to explore the structure of SDC and the interaction between SDC and substrates, homology modeling, molecular docking and molecular dynamics were performed. The results showed that SDC might also have a catalytic active center containing a Zn 2+ . Compared with the template structure of 2, 6-dihydroxybenzoate decarboxylase, the residues surrounding the binding pocket, His10, Phe23 and Phe290, were replaced by Ala10, Tyr27 and Tyr301 in the homology constructed structure of SDC, respectively. These differences may significantly affect the substrates adaptability of SDC for salicylic acid derivatives.
- Is Part Of:
- Computational biology and chemistry. Volume 75(2018)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 75(2018)
- Issue Display:
- Volume 75, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 75
- Issue:
- 2018
- Issue Sort Value:
- 2018-0075-2018-0000
- Page Start:
- 82
- Page End:
- 90
- Publication Date:
- 2018-08
- Subjects:
- Salicylic acid decarboxylase -- Bioactivity -- Homology modeling -- Dynamic simulation
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2018.05.003 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13020.xml