Understanding infectious agents from an in silico perspective.
Knowledge of infectious diseases now emerging from genomic, proteomic, epidemiological and clinical data can provide insights into the mechanisms of immune function, disease pathogenesis and epidemiology. Here, we describe how considerable advances in computational methods of data mining, mathematical modeling in epidemiology and simulation have been used to enhance our understanding of infectious agents and discuss their impact on the discovery of new therapeutics and controlling their spread.
Data Mining Department, Institute for Infocomm Research, 1 Fusionopolis Way, 21-01 Connexis South Tower, Singapore 138632, Singapore. victor@bic.nus.edu.sg
Joo Chuan
JC
Tong
Lisa F P
LF
Ng
D003141:Communicable Diseases / Q000453:epidemiology* / Q000235:genetics / Q000382:microbiology*; D057225:Data Mining / Q000379:methods*; D058872:Epidemics; D004812:Epidemiologic Methods; D006801:Humans; D008954:Models, Biological