scholarly journals Delving into Zika virus structural dynamics – a closer look at NS3 helicase loop flexibility and its role in drug discovery

RSC Advances ◽  
2017 ◽  
Vol 7 (36) ◽  
pp. 22133-22144 ◽  
Author(s):  
Pritika Ramharack ◽  
Sofiat Oguntade ◽  
Mahmoud E. S. Soliman

This study demonstrates the structural alterations in the P-loop of ZIKV helicase subsequent to binding of potent inhibitor, NITD008.

2018 ◽  
Vol 13 (9) ◽  
pp. 825-835 ◽  
Author(s):  
Alessandro Sinigaglia ◽  
Silvia Riccetti ◽  
Marta Trevisan ◽  
Luisa Barzon
Keyword(s):  

EBioMedicine ◽  
2016 ◽  
Vol 12 ◽  
pp. 156-160 ◽  
Author(s):  
Xuping Xie ◽  
Jing Zou ◽  
Chao Shan ◽  
Yujiao Yang ◽  
Dieudonné Buh Kum ◽  
...  
Keyword(s):  

Author(s):  
Glaucius Oliva ◽  
Andre S. Godoy ◽  
Ketlyn I. Z.. Oliveira ◽  
Nathalya C. M. R. Mesquita ◽  
Gustavo M. A. Lima ◽  
...  

Author(s):  
Ammu Prasanna Kumar ◽  
Chandra S Verma ◽  
Suryani Lukman

Abstract Rab proteins represent the largest family of the Rab superfamily guanosine triphosphatase (GTPase). Aberrant human Rab proteins are associated with multiple diseases, including cancers and neurological disorders. Rab subfamily members display subtle conformational variations that render specificity in their physiological functions and can be targeted for subfamily-specific drug design. However, drug discovery efforts have not focused much on targeting Rab allosteric non-nucleotide binding sites which are subjected to less evolutionary pressures to be conserved, hence are likely to offer subfamily specificity and may be less prone to undesirable off-target interactions and side effects. To discover druggable allosteric binding sites, Rab structural dynamics need to be first incorporated using multiple experimentally and computationally obtained structures. The high-dimensional structural data may necessitate feature extraction methods to identify manageable representative structures for subsequent analyses. We have detailed state-of-the-art computational methods to (i) identify binding sites using data on sequence, shape, energy, etc., (ii) determine the allosteric nature of these binding sites based on structural ensembles, residue networks and correlated motions and (iii) identify small molecule binders through structure- and ligand-based virtual screening. To benefit future studies for targeting Rab allosteric sites, we herein detail a refined workflow comprising multiple available computational methods, which have been successfully used alone or in combinations. This workflow is also applicable for drug discovery efforts targeting other medically important proteins. Depending on the structural dynamics of proteins of interest, researchers can select suitable strategies for allosteric drug discovery and design, from the resources of computational methods and tools enlisted in the workflow.


2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Yong-Qiang Deng ◽  
Na-Na Zhang ◽  
Chun-Feng Li ◽  
Min Tian ◽  
Jia-Nan Hao ◽  
...  

Abstract The ongoing Zika virus (ZIKV) outbreaks have raised global concerns due to its unexpected clinical manifestations. Antiviral development is of high priority in response to the ZIKV emergency. In this study, we report that an adenosine analog NITD008 has potent in vitro and in vivo antiviral activity against ZIKV. The compound can effectively inhibit the historical and contemporary ZIKV strains in cultures as well as significantly reduce viremia and prevent mortality in A129 mice. Our results have demonstrated that NITD008 is potent inhibitor of ZIKV and can be used as reference inhibitor for future ZIKV antiviral drug screen and discovery.


RSC Advances ◽  
2016 ◽  
Vol 6 (73) ◽  
pp. 68719-68731 ◽  
Author(s):  
Pritika Ramharack ◽  
Mahmoud E. S. Soliman

This review depicts anin silicoroute map for ZIKV drug discovery, thus revealing novel potential inhibitors of viral replication.


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