Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model

摘要: Upon identification of a new protein it is important to single out these amino acids responsible for the structural classification as well contributing protein's specific biological characterisation. A novel approach presented identify and quantify this cause effect relationship between acid protein. This exploits Common Frequency Peak (CFP) that extracts from Resonant Recognition Model (RRM). Applicability robustness method are shown on case study where five different families influenza virus Neuraminidase (NA) genes studied. They include H1N1, H1N2, H2N2, H3N2 H5N1. The analyses identified segments, namely three H1N1 H5N1 two H2N2 suggested they play key role in Influenza NA gene functionality can potentially be considered target areas future antiviral drugs vaccines such neuraminidase inhibitors.