• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

In silico structure-based design of enhanced peptide inhibitors targeting RNA polymerase PAN-PB1C interaction

tetano

Editor, Senior Moderator
Comput Biol Chem. 2018 Dec 23;78:273-281. doi: 10.1016/j.compbiolchem.2018.12.009. [Epub ahead of print]
[h=1]In silico structure-based design of enhanced peptide inhibitors targeting RNA polymerase PA[SUB]N[/SUB]-PB1[SUB]C[/SUB] interaction.[/h] Arivajiagane A[SUP]1[/SUP], Ravi Varadharajulu N[SUP]2[/SUP], Seerangan K[SUP]3[/SUP], Rattinam R[SUP]4[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] Developing antivirals for influenza A virus (FluA) has become more challenging due to high range of antigenic mutation and increasing numbers of drug-resistant viruses. Finding a selective inhibitor to target highly conserved region of protein-protein interactions interface, thereby increasing its efficiency against drug resistant virus could be highly beneficial. In this study, we used in silico approach to derive FluAPep1 from highly conserved region, PA[SUB]N[/SUB]-PB1[SUB]C[/SUB] interface and generated 121 FluAPep1 analogues. Interestingly, we found that the FluAPep1 interaction region in the PA[SUB]N[/SUB] domain are highly conserved in many FluA subtypes. Especially, FluAPep1 targets two pandemic FluA strains, H1N1/avian/2009 and H3N2/Victoria/1975. All of these FluA subtypes PA[SUB]N[/SUB] domain (H1N1/H3N2CAN/H3N2VIC/H7N1/H7N2) were superimposed with PA[SUB]N[/SUB] domain from H17N10 and the calculated root mean standards deviations were less than 3 ?. FlexPepDock analysis revealed that FluAPep1 exhibited higher binding affinity (score -246.155) with the PA[SUB]N[/SUB] domain. In addition, around 86% of non-hot spot mutated peptides (FluAPep28-122) showed enhanced binding affinity with PA[SUB]N[/SUB] domain. ToxinPred analysis confirmed that designed peptides were non-toxic. Thus, FluAPep1 and its analogues has potential to be further developed into an antiviral treatment against FluA infection.


[h=4]KEYWORDS:[/h] FluAPep1; Influenza A virus; PA(N) domain; Protein-protein interactions; RNA polymerase

PMID: 30597438 DOI: 10.1016/j.compbiolchem.2018.12.009
 
Back
Top Bottom