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Virtual screening of the inhibitors targeting at the viral protein 40 of Ebola virus

Overview of attention for article published in Infectious Diseases of Poverty, February 2016
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Title
Virtual screening of the inhibitors targeting at the viral protein 40 of Ebola virus
Published in
Infectious Diseases of Poverty, February 2016
DOI 10.1186/s40249-016-0105-1
Pubmed ID
Authors

V. Karthick, N. Nagasundaram, C. George Priya Doss, Chiranjib Chakraborty, R. Siva, Aiping Lu, Ge Zhang, Hailong Zhu

Abstract

The Ebola virus is highly pathogenic and destructive to humans and other primates. The Ebola virus encodes viral protein 40 (VP40), which is highly expressed and regulates the assembly and release of viral particles in the host cell. Because VP40 plays a prominent role in the life cycle of the Ebola virus, it is considered as a key target for antiviral treatment. However, there is currently no FDA-approved drug for treating Ebola virus infection, resulting in an urgent need to develop effective antiviral inhibitors that display good safety profiles in a short duration. This study aimed to screen the effective lead candidate against Ebola infection. First, the lead molecules were filtered based on the docking score. Second, Lipinski rule of five and the other drug likeliness properties are predicted to assess the safety profile of the lead candidates. Finally, molecular dynamics simulations was performed to validate the lead compound. Our results revealed that emodin-8-beta-D-glucoside from the Traditional Chinese Medicine Database (TCMD) represents an active lead candidate that targets the Ebola virus by inhibiting the activity of VP40, and displays good pharmacokinetic properties. This report will considerably assist in the development of the competitive and robust antiviral agents against Ebola infection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Germany 1 <1%
Unknown 110 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 18%
Student > Ph. D. Student 16 14%
Student > Master 14 13%
Researcher 13 12%
Other 6 5%
Other 20 18%
Unknown 23 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 19%
Chemistry 19 17%
Agricultural and Biological Sciences 14 13%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Medicine and Dentistry 7 6%
Other 15 13%
Unknown 27 24%