Issue 11, 2013

Understanding molecular mechanisms of traditional Chinese medicine for the treatment of influenza viruses infection by computational approaches

Abstract

The battle against influenza is an enduring one. For hundreds of years, people have fought such small viruses with practices such as traditional Chinese medicine (TCM), however only recently has it been possible to use cutting-edge technology to investigate their mechanisms. Here, we re-created this ancient Chinese knowledge to explore the chemistry of herbs and elucidate their mechanism of action using molecular computational methods. Our results show that TCM compounds can inhibit influenza viral proteins in a multi-target/multi-component manner, revealing the versatility of TCM for treating different influenza virus subtypes, including the recently emerged H7N9.

Graphical abstract: Understanding molecular mechanisms of traditional Chinese medicine for the treatment of influenza viruses infection by computational approaches

Supplementary files

Article information

Article type
Paper
Submitted
08 Jul 2013
Accepted
02 Aug 2013
First published
05 Aug 2013

Mol. BioSyst., 2013,9, 2696-2700

Understanding molecular mechanisms of traditional Chinese medicine for the treatment of influenza viruses infection by computational approaches

S. Gu, N. Yin, J. Pei and L. Lai, Mol. BioSyst., 2013, 9, 2696 DOI: 10.1039/C3MB70268E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Spotlight

Advertisements