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, mathematic...
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| Veröffentlicht in: | Drug discovery today 2011-01, Vol.16 (1), p.42-49 |
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| container_title | Drug discovery today |
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| creator | Tong, Joo Chuan Ng, Lisa F.P. |
| description | 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. |
| doi_str_mv | 10.1016/j.drudis.2010.10.007 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1359-6446 |
| ispartof | Drug discovery today, 2011-01, Vol.16 (1), p.42-49 |
| issn | 1359-6446 1878-5832 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7185741 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Biological and medical sciences Communicable Diseases - epidemiology Communicable Diseases - genetics Communicable Diseases - microbiology Data Mining - methods Epidemics Epidemiologic Methods General pharmacology Humans Medical sciences Models, Biological Pharmaceutical technology. Pharmaceutical industry Pharmacology. Drug treatments |
| title | Understanding infectious agents from an in silico perspective |
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