In Silico Vaccine Strain Prediction for Human Influenza Viruses

摘要: Vaccines preventing seasonal influenza infections save many lives every year; however, due to rapid viral evolution, they have be updated frequently remain effective. To identify appropriate vaccine strains, the World Health Organization (WHO) operates a global program that continually generates and interprets surveillance data. Over past decade, sophisticated computational techniques, drawing from multiple theoretical disciplines, been developed predict lineages rising predominance, assess their suitability as link genetic antigenic alterations, well integrate visualize genetic, epidemiological, structural, These could form basis of an objective reproducible strain-selection procedure utilizing complex, large-scale data types surveillance. this end, techniques should already incorporated into vaccine-selection process in independent, parallel track, performance continuously evaluated.