Abstract
Influenza virus A is a significant agent involved in the outbreak of worldwide epidemics, causing millions of fatalities around the world by respiratory diseases and seasonal illness. Many projects had been conducting to investigate recovered infected patients for therapeutic vaccines that have broad-spectrum activity. With the aid of the computational approach in biology, the designation for a vaccine model is more accessible. We developed an in silico protocol called iBRAB to design a broad-reactive Fab on a wide range of influenza A virus. The Fab model was constructed based on sequences and structures of available broad-spectrum Abs or Fabs against a wide range of H1N1 influenza A virus. As a result, the proposed Fab model followed iBRAB has good binding affinity over 27 selected HA of different strains of H1 influenza A virus, including wild-type and mutated ones. The examination also took by computational tools to fasten the procedure. This protocol could be applied for a fast-designed therapeutic vaccine against different types of threats.
Highlights
Influenza A virus is known as an agent causing seasonal illness of respiratory diseases
This study lays the groundwork for developing a universal therapeutic vaccine, especially for the influenza A virus, by bioinformatic approach
The proposed Fab model of broad-spectrum antibody targeting HA of different H1N1 influenza A strains had preliminarily shown the broad-reactive property against receptor binding site (RBS) of HA
Summary
Influenza A virus is known as an agent causing seasonal illness of respiratory diseases. By studying a wide range of broad-spectrum Fabs and helping with the computational approach, we developed a protocol called iBRAB (in silico Broad-Reactive Antigen-Binding fragment) to design potential therapeutic vaccines against a wide range of influenza A virus. In this protocol, Abs/Fabs having broad-spectrum activity against a wide range of trains are computationally investigated their sequences and 3-dimension structures to propose a Fab model. Ten of them have binding at the RBS and neutralizing activities on wide-range strains of the same H1 subtype (Table 1) Both sequence and 3D structure of the heavy or light chain of each Ab/Fab were extracted into separated files for later analysis. P-value was calculated using the one-way ANOVA method—Tukey pairwise test, and statistical significance was set at p-value < 0.05
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