In silico prediction of influenza vaccine effectiveness by sequence analysis

Vaccine ◽  
2021 ◽  
Vol 39 (7) ◽  
pp. 1030-1034
Author(s):  
Lirong Cao ◽  
Jingzhi Lou ◽  
Shi Zhao ◽  
Renee W.Y. Chan ◽  
Martin Chan ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Influenza Vaccine ◽  
In Silico ◽  
Vaccine Effectiveness ◽  
In Silico Prediction

In silico Prediction and Designing of Potential siRNAs to be Used as Antivirals Against SARS-CoV-2

2021 ◽  
Vol 27 ◽  
Author(s):  
Sayed Sartaj Sohrab ◽  
Sherif Aly El-Kafrawy ◽  
Aymn T. Abbas ◽  
Leena H. Bajrai ◽  
Esam Ibraheem Azhar
Keyword(s):  
Genetic Diversity ◽  
Sequence Analysis ◽  
Phylogenetic Relationships ◽  
In Silico ◽  
Full Genome ◽  
In Silico Prediction ◽  
High Sequence Identity ◽  
Minor Parent ◽  
Sequence Identity ◽  
The City

Background:: The unusual pneumonia outbreak that originated in the city of Wuhan, China in December 2019 was found to be caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19. Methods:: In this work, we have performed an in silico design and prediction of potential siRNAs based on genetic diversity and recombination patterns, targeting various genes of SARS-CoV-2 for antiviral therapeutics. We performed extensive sequence analysis to analyze the genetic diversity and phylogenetic relationships, and to identify the possible source of virus reservoirs and recombination patterns, and the evolution of the virus as well as we designed the siRNAs which can be used as antivirals against SARS-CoV-2. Results:: The sequence analysis and phylogenetic relationships indicated high sequence identity and closed clusters with many types of coronavirus. In our analysis, the full-genome of SARS-CoV-2 showed the highest sequence (nucleotide) identity with SARS-bat-ZC45 (87.7%). The overall sequence identity ranged from 74.3% to 87.7% with selected SARS viruses. The recombination analysis indicated the bat SARS virus is a potential recombinant and serves as a major and minor parent. We have predicted 442 siRNAs and finally selected only 19 functional, and potential siRNAs. Conclusions:: The siRNAs were predicted and selected based on their greater potency and specificity. The predicted siRNAs need to be validated experimentally for their effective binding and antiviral activity.

scholarly journals Interim estimates of 2016/17 vaccine effectiveness against influenza A(H3N2), Canada, January 2017

2017 ◽  
Vol 22 (6) ◽  
Author(s):  
Danuta M Skowronski ◽  
Catharine Chambers ◽  
Suzana Sabaiduc ◽  
James A Dickinson ◽  
Anne-Luise Winter ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Confidence Interval ◽  
Influenza Vaccine ◽  
Vaccine Strain ◽  
Influenza A ◽  
Vaccine Effectiveness ◽  
Surveillance Network ◽  
Potential Vaccine ◽  
Substantial Heterogeneity ◽  
Over Time

Using a test-negative design, the Canadian Sentinel Practitioner Surveillance Network (SPSN) assessed interim 2016/17 influenza vaccine effectiveness (VE) against dominant influenza A(H3N2) viruses considered antigenically matched to the clade 3C.2a vaccine strain. Sequence analysis revealed substantial heterogeneity in emerging 3C.2a1 variants by province and over time. Adjusted VE was 42% (95% confidence interval: 18–59%) overall, with variation by province. Interim virological and VE findings reported here warrant further investigation to inform potential vaccine reformulation.

Speciation of cultivated temperate and tropical Pleurotus species –an in silico prediction using conserved sequences

2019 ◽  
Vol 28 (1) ◽  
Author(s):  
Anupam Barh ◽  
V P Sharma ◽  
Shwet Kamal ◽  
Mahantesh Shirur ◽  
Sudheer Kumar Annepu ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Prediction ◽  
Conserved Sequences ◽  
Pleurotus Species
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