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Prediction of Amino Acid Substitutions on Hemagglutinin Molecules of Influenza Viruses

This research explores the underlying patterns of the amino acid substitutions on the surface proteins of the influenza viruses, aiming to develop methods that predict the evolution of the viruses. Through efforts combining informatics, computation and biology, this project will conduct comprehensive analyses on a large number of influenza viruses that circulated in the past, and thus construct computational models to predict the virus's evolution into the future. The accuracy of the models will be assessed by comparing their predicted amino acid substitutions with those actually observed.

Bioinformatics for Zoonosis Control

The rapid development of molecular biology over the last two decades has accelerated the accumulation of results from genetic and experimental studies on zoonotic pathogens. The massive biological data sets now available enhance the chances of finding important factors that are essential for zoonosis control and have not been addressed so far. Through a fusion of bioscience and informatics, we will conduct comprehensive studies based on large-scale data sets detailing zoonotic pathogens to identify causative factors in infection, and intend to establish strategies to predict and prevent the occurrence and epidemic spread of zoonoses.

Knowledge federation combining zoonosis-related information on the Web

Causative agents of zoonoses infect both humans and animals. As contents information on the Web increases significantly in size and type, it becomes important to link related information together. The potential resources include databases of genome, proteins, scientific publications, international food/pet trade, ecosystem, and disease outbreak. We aim to develop a zoonotic information basis where we could link distributed information together to find effective strategies for prediction, prevention and control of zoonotic diseases.