Computational Study of Interdependence Between Hemagglutinin and Neuraminidase of Pandemic 2009 H1N1


Influenza sort A viruses are classified into subtypes based on their two surface proteins, hemagglutinin (HA) and neuraminidase (NA). The HA protein facilitates the viral binding and entering a number cell and also the NA protein helps the release of viral progeny from the infected cell. The complementary roles of HA and NA entail their collaboration, that has important implications for viral replication and fitness. The HA protein from early strains of pandemic 2009 H1N1 of swine origin preferentially binds to human type receptors with a weak binding to avian sort receptors. This virus caused many human deaths in December 2013 in Texas, USA, which motivated us to investigate the changes of genetic features that might contribute to the surged virulence of the virus. Our time series analysis on the strains of this virus collected from 2009 to 2013 implied that the HA binding preference of this virus in USA, Europe, and Asia has been the characteristic of swine H1N1 virus since 2009. But, its characteristic of seasonal human H1N1 and its binding avidity for avian kind receptors each were on steady rise and had a clear increase in 2013 with American strains having the sharpest surge. The first modification may enhance the viral transmission and replication in humans and therefore the second may increase its ability to cause infection deep in lungs, which would possibly account for the recent human deaths in Texas. In light of HA and NA coadaptation and evolutionary interactions, we tend to also explored the NA activity of this virus to reveal the functional balance between HA and NA throughout the course of virus evolution. Finally we have a tendency to identified amino acid substitutions in HA and NA of the virus that were vital for the observed evolution.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :A New Construction of EVENODD Codes With Lower Computational Complexity - 2018ABSTRACT:EVENODD codes are binary array codes for correcting double disk failures in RAID-half-dozen with asymptotically optimal encoding
PROJECT TITLE :Cost-Optimal Caching for D2D Networks With User Mobility: Modeling, Analysis, and Computational Approaches - 2018ABSTRACT:Caching well-liked files at the user equipments (UEs) provides an efficient way to alleviate
PROJECT TITLE : Discovering Newsworthy Themes From Sequenced Data: A Step Towards Computational Journalism - 2017 ABSTRACT: Automatic discovery of newsworthy themes from sequenced knowledge will relieve journalists from manually
PROJECT TITLE : Finger vein biometric: Smartphone footprint prototype with vein map Extraction using computational imaging techniques - 2016 ABSTRACT: A brand new vein structure based mostly biometric approach is introduced
PROJECT TITLE :Minimizing Stimulus Current in a Wearable Pudendal Nerve Stimulator Using Computational ModelsABSTRACT:After spinal cord injury, functions of the lower urinary tract could be disrupted. A wearable device with surface

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry