volume 122 pages 12-19

The search for nucleoside/nucleotide analog inhibitors of dengue virus.

Yen Liang Chen 1
Fumiaki Yokokawa 1
1
 
Novartis Institute for Tropical Diseases, Singapore
2
 
Novartis
Publication typeJournal Article
Publication date2015-10-01
scimago Q1
wos Q1
SJR1.195
CiteScore7.3
Impact factor4.0
ISSN01663542, 18729096
Pharmacology
Virology
Abstract
Nucleoside analogs represent the largest class of antiviral agents and have been actively pursued for potential therapy of dengue virus (DENV) infection. Early success in the treatment of human immunodeficiency virus (HIV) infection and the recent approval of sofosbuvir for chronic hepatitis C have provided proof of concept for this class of compounds in clinics. Here we review (i) nucleoside analogs with known anti-DENV activity; (ii) challenges of the nucleoside antiviral approach for dengue; and (iii) potential strategies to overcome these challenges. This article forms part of a symposium in Antiviral Research on flavivirus drug discovery.
Found 
Found 

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GOST Copy
Chen Y. L., Yokokawa F., Shi P. The search for nucleoside/nucleotide analog inhibitors of dengue virus. // Antiviral Research. 2015. Vol. 122. pp. 12-19.
GOST all authors (up to 50) Copy
Chen Y. L., Yokokawa F., Shi P. The search for nucleoside/nucleotide analog inhibitors of dengue virus. // Antiviral Research. 2015. Vol. 122. pp. 12-19.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.antiviral.2015.07.010
UR - https://doi.org/10.1016/j.antiviral.2015.07.010
TI - The search for nucleoside/nucleotide analog inhibitors of dengue virus.
T2 - Antiviral Research
AU - Chen, Yen Liang
AU - Yokokawa, Fumiaki
AU - Shi, Pei
PY - 2015
DA - 2015/10/01
PB - Elsevier
SP - 12-19
VL - 122
PMID - 26241002
SN - 0166-3542
SN - 1872-9096
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2015_Chen,
author = {Yen Liang Chen and Fumiaki Yokokawa and Pei Shi},
title = {The search for nucleoside/nucleotide analog inhibitors of dengue virus.},
journal = {Antiviral Research},
year = {2015},
volume = {122},
publisher = {Elsevier},
month = {oct},
url = {https://doi.org/10.1016/j.antiviral.2015.07.010},
pages = {12--19},
doi = {10.1016/j.antiviral.2015.07.010}
}