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Computational Study of HCV p7 Channel: Insight into a New Strategy for HCV Inhibitor Design

Overview of attention for article published in Interdisciplinary Sciences: Computational Life Sciences, September 2018
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Title
Computational Study of HCV p7 Channel: Insight into a New Strategy for HCV Inhibitor Design
Published in
Interdisciplinary Sciences: Computational Life Sciences, September 2018
DOI 10.1007/s12539-018-0306-3
Pubmed ID
Authors

Beili Ying, Shichao Pang, Junchen Yang, Yang Zhong, Jingfang Wang

Abstract

HCV p7 protein is a cation-selective ion channel, playing an essential role during the life cycle of HCV viruses. To understand the cation-selective mechanism, we constructed a hexameric model in lipid bilayers of HCV p7 protein for HCB JFH-1 strain, genotype 2a. In this structural model, His9 and Val6 were key factors for the HCV cation-selective ion channel. The histidine residues at position 9 in the hexameric model formed a first gate for HCV p7 channel, acting as a selectivity filter for cations. The valines mentioned above formed a second gate for HCV p7 channel, serving as a hydrophobic filter for the dehydrated cations. The binding pocket for the channel blockers, e.g., amantadine and rimantadine, was composed of residues 20-26 in H2 helix and 52-60 in H3 helix in iā€‰+ā€‰2 monomer. However, the molecular volumes for both amantadine and rimantadine were too small for the binding pocket of HCV p7 channel. Thus, designing a compound similar with rimantadine and having much larger volume would be an effective strategy for discovering inhibitors against HCV p7 channel. To achieve this point, we used rimantadine as a structural template to search ChEMBL database for the candidates employing favorable binding affinities to HCV p7 channel. As a result, six candidates were identified to have potential to be novel inhibitors against HCV p7 channel.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 56%
Medicine and Dentistry 2 22%
Mathematics 1 11%
Unknown 1 11%