Understanding infectious agents from an in silico perspective

Joo Chuan Tong; Lisa F P Ng

doi:10.1016/j.drudis.2010.10.007

Understanding infectious agents from an in silico perspective

Drug Discov Today. 2011 Jan;16(1-2):42-9. doi: 10.1016/j.drudis.2010.10.007. Epub 2010 Oct 23.

Authors

Joo Chuan Tong¹, Lisa F P Ng

Affiliation

¹ Data Mining Department, Institute for Infocomm Research, 1 Fusionopolis Way, 21-01 Connexis South Tower, Singapore 138632, Singapore. victor@bic.nus.edu.sg

Abstract

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.

Publication types

Review

MeSH terms

Communicable Diseases / epidemiology*
Communicable Diseases / genetics
Communicable Diseases / microbiology*
Data Mining / methods*
Epidemics*
Epidemiologic Methods
Humans
Models, Biological*