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Immunoinformatics: Current trends and future directions
Immunoinformatics has recently emerged as a critical field for accelerating immunology research. Although still an evolving process, computational models now play instrumental roles, not only in directing the selection of key experiments, but also in the formulation of new testable hypotheses throug...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108239/ https://www.ncbi.nlm.nih.gov/pubmed/19379830 http://dx.doi.org/10.1016/j.drudis.2009.04.001 |
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author | Tong, Joo Chuan Ren, Ee Chee |
author_facet | Tong, Joo Chuan Ren, Ee Chee |
author_sort | Tong, Joo Chuan |
collection | PubMed |
description | Immunoinformatics has recently emerged as a critical field for accelerating immunology research. Although still an evolving process, computational models now play instrumental roles, not only in directing the selection of key experiments, but also in the formulation of new testable hypotheses through detailed analysis of complex immunologic data that could not be achieved using traditional approaches alone. Immunomics, which combines traditional immunology with computer science, mathematics, chemistry, biochemistry, genomics and proteomics for the large-scale analysis of immune system function, offers new opportunities for future bench-to-bedside research. In this article, we review the latest trends and future directions of the field. |
format | Online Article Text |
id | pubmed-7108239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71082392020-03-31 Immunoinformatics: Current trends and future directions Tong, Joo Chuan Ren, Ee Chee Drug Discov Today Article Immunoinformatics has recently emerged as a critical field for accelerating immunology research. Although still an evolving process, computational models now play instrumental roles, not only in directing the selection of key experiments, but also in the formulation of new testable hypotheses through detailed analysis of complex immunologic data that could not be achieved using traditional approaches alone. Immunomics, which combines traditional immunology with computer science, mathematics, chemistry, biochemistry, genomics and proteomics for the large-scale analysis of immune system function, offers new opportunities for future bench-to-bedside research. In this article, we review the latest trends and future directions of the field. Elsevier Ltd. 2009-07 2009-04-18 /pmc/articles/PMC7108239/ /pubmed/19379830 http://dx.doi.org/10.1016/j.drudis.2009.04.001 Text en Copyright © 2009 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Tong, Joo Chuan Ren, Ee Chee Immunoinformatics: Current trends and future directions |
title | Immunoinformatics: Current trends and future directions |
title_full | Immunoinformatics: Current trends and future directions |
title_fullStr | Immunoinformatics: Current trends and future directions |
title_full_unstemmed | Immunoinformatics: Current trends and future directions |
title_short | Immunoinformatics: Current trends and future directions |
title_sort | immunoinformatics: current trends and future directions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108239/ https://www.ncbi.nlm.nih.gov/pubmed/19379830 http://dx.doi.org/10.1016/j.drudis.2009.04.001 |
work_keys_str_mv | AT tongjoochuan immunoinformaticscurrenttrendsandfuturedirections AT reneechee immunoinformaticscurrenttrendsandfuturedirections |