Difference between revisions of "Immunoinformatics"
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==History== | ==History== | ||
Immunology researchers like Hans-Georg Rammensee trace the history of immunoinformatics back to the study of theoretical immunology. In June 1987, the Theoretical Immunology Workshop was hosted in Santa Fe, New Mexico to discuss "the topics of immune surveillance, mathematical models of HIV infection, complexities of antigen-antibody systems, immune suppression and tolerance, and idiotypie networks."<ref name="WVPressTheo">{{cite web |url=http://westviewpress.com/books/theoretical-immunology-part-one/ |title=Theoretical Immunology, Part One |publisher=Westview Press |accessdate= | Immunology researchers like Hans-Georg Rammensee trace the history of immunoinformatics back to the study of theoretical immunology. In June 1987, the Theoretical Immunology Workshop was hosted in Santa Fe, New Mexico to discuss "the topics of immune surveillance, mathematical models of HIV infection, complexities of antigen-antibody systems, immune suppression and tolerance, and idiotypie networks."<ref name="WVPressTheo">{{cite web |url=http://westviewpress.com/books/theoretical-immunology-part-one/ |archiveurl=https://web.archive.org/web/20160422182632/http://westviewpress.com/books/theoretical-immunology-part-one/ |title=Theoretical Immunology, Part One |publisher=Westview Press |archivedate=22 April 2016 |accessdate=06 January 2022}}</ref><ref name="NovImmunoChair">{{cite book |url=https://books.google.com/books?id=iBJc1JO1WuwC&pg=PA1 |chapter=Chair's introduction |title=Immunoinformatics: Bioinformatic Strategies for Better Understanding of Immune Function |author=Rammensee, Hans-Georg; Novartis Foundation |publisher=John Wiley & Sons |year=2004 |pages=1–2 |isbn=9780470090756 |accessdate=20 January 2015}}</ref><ref name="PerelsonTheo">{{cite book |url=http://books.google.com/books/about/Theoretical_immunology.html?id=DxxrAAAAMAAJ |title=Theoretical Immunology: The Proceedings of the Theoretical Immunology Workshop, held June 1987, in Santa Fe, New Mexico |author=Perelson, Alan S. (Ed.) |publisher=Addison-Wesley Pub. Co |year=1988 |volume=1 and 2 |pages=811 |isbn=9780201156829 |accessdate=20 January 2015}}</ref> | ||
One of the first immunoinformatics efforts to result in a long-term informatics solution was the construction of the IMGT information system in 1989 by the Laboratoire d'ImmunoGénétique Moléculaire (LIGM). Created to "standardize and manage the complexity of the immunogenetics data" coming out of the lab, the information system went on to become an international public reference for genetic and proteomic data related to immunology.<ref name="SchönbachImm">{{cite book |url=https://books.google.com/books?id=YgjWcFng-4YC&pg=PA1 |title=Immunoinformatics |author= Schönbach, Christian; Ranganathan, Shoba; Brusic, Vladimir (Eds.) |publisher=Springer Science & Business Media |year=2007 |pages=200 |isbn=9780387729671 |accessdate=20 January 2015}}</ref> In July 1995, IMGT moved to the web, and by 2007 it was handling more than 140,000 requests per month.<ref name="LefrancImm">{{cite book |url=https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA19 |chapter=IMGT: The International ImmunoGeneTics Information System for Immunoinformatics |title=Immunoinformatics: Predicting Immunogenicity in Silico |author=Lefranc, Marie-Paule; Flower, Darren R. (Ed.) |publisher=Springer Science & Business Media |pages=19–42 |year=2007 |isbn=9781603271189 |accessdate=20 January 2015}}</ref> | One of the first immunoinformatics efforts to result in a long-term informatics solution was the construction of the IMGT information system in 1989 by the Laboratoire d'ImmunoGénétique Moléculaire (LIGM). Created to "standardize and manage the complexity of the immunogenetics data" coming out of the lab, the information system went on to become an international public reference for genetic and proteomic data related to immunology.<ref name="SchönbachImm">{{cite book |url=https://books.google.com/books?id=YgjWcFng-4YC&pg=PA1 |title=Immunoinformatics |author= Schönbach, Christian; Ranganathan, Shoba; Brusic, Vladimir (Eds.) |publisher=Springer Science & Business Media |year=2007 |pages=200 |isbn=9780387729671 |accessdate=20 January 2015}}</ref> In July 1995, IMGT moved to the web, and by 2007 it was handling more than 140,000 requests per month.<ref name="LefrancImm">{{cite book |url=https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA19 |chapter=IMGT: The International ImmunoGeneTics Information System for Immunoinformatics |title=Immunoinformatics: Predicting Immunogenicity in Silico |author=Lefranc, Marie-Paule; Flower, Darren R. (Ed.) |publisher=Springer Science & Business Media |pages=19–42 |year=2007 |isbn=9781603271189 |accessdate=20 January 2015}}</ref> | ||
In 1999, the SYFPEITHI database for MHC ligands and T-cell epitopes – a component of an antigen or antibody generator – went public.<ref name="RammenseeSYF">{{cite journal | In 1999, the SYFPEITHI database for MHC ligands and T-cell epitopes – a component of an antigen or antibody generator – went public.<ref name="RammenseeSYF">{{cite journal |title=SYFPEITHI: Database for MHC ligands and peptide motifs |journal=Immunogenetics |author=Rammensee, H.; Bachmann, J; Emmerich, N. P.; Bachor, O. A.; Stevanović, S. |volume=50 |issue=3–4 |pages=213–219 |year=November 1999 |doi=10.1007/s002510050595 |pmid=10602881}}</ref> | ||
In 2003, the Anthony Nolan Research Institute and the European Bioinformatics Institute developed the Immuno Polymorphism Database (IPD) "to provide a centralised system for the study of polymorphism in genes of the immune system."<ref name="IPD">{{cite web |url=http://www.ebi.ac.uk/ipd/ |title=Immuno Polymorphism Database |publisher=EMBL-European Bioinformatics Institute |accessdate=20 January 2015}}</ref> | In 2003, the Anthony Nolan Research Institute and the European Bioinformatics Institute developed the Immuno Polymorphism Database (IPD) "to provide a centralised system for the study of polymorphism in genes of the immune system."<ref name="IPD">{{cite web |url=http://www.ebi.ac.uk/ipd/ |title=Immuno Polymorphism Database |publisher=EMBL-European Bioinformatics Institute |accessdate=20 January 2015}}</ref> | ||
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==Application== | ==Application== | ||
Immunoinformatics can help tackle problems and tasks such as the following<ref name="SchönbachImm" /><ref name="NovImmunoNew" /><ref name="TongAller">{{cite journal | Immunoinformatics can help tackle problems and tasks such as the following<ref name="SchönbachImm" /><ref name="NovImmunoNew" /><ref name="TongAller">{{cite journal |author=Tong, J.C.; Tammi, M.T. |title=Methods and protocols for the assessment of protein allergenicity and cross-reactivity |journal=Frontiers in Bioscience |volume=13 |pages=4882–4888 |year=2008 |doi=10.2741/3047 |pmid=18508553}}</ref><ref name="model">{{cite journal |author=Brusic, V.; van Endert, P.; Zeleznikow, J.; Daniel, S.; Hammer, J.; Petrovsky, N. |title=A neural network model approach to the study of human TAP transporter |journal=In Silico Biology |volume=1 |issue=2 |pages=109–21 |year=1999 |pmid=11471244}}</ref>: | ||
* improving the development of biological therapeutics | * improving the development of biological therapeutics | ||
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One of the key informatics tools of immunology researchers is computational analysis software and systems, including modeling and simulation software. With modern software, an immunological question can be asked, the question can be interpreted into a computer-based computation or simulation, and the resulting data can then be output and analyzed for meaningful answers. T-cell receptors (TCRs) are molecular proteins vital to the immune response, and their diversity is estimated to ranges from 10<sup>7</sup> to 10<sup>15</sup> different clonotypes, highlighting the need for powerful computational tools to better understand their effects on immune response.<ref name="NovImmunoNew" /> Immunological databases are another vital component of immunoinformatics, especially as other computational tools have increasingly produced large quantities of varied data. In 2014 Oxford Journals published a list of more than 30 such popular databases in its journal ''Nucleic Acids Research''.<ref name="OxID" /> | One of the key informatics tools of immunology researchers is computational analysis software and systems, including modeling and simulation software. With modern software, an immunological question can be asked, the question can be interpreted into a computer-based computation or simulation, and the resulting data can then be output and analyzed for meaningful answers. T-cell receptors (TCRs) are molecular proteins vital to the immune response, and their diversity is estimated to ranges from 10<sup>7</sup> to 10<sup>15</sup> different clonotypes, highlighting the need for powerful computational tools to better understand their effects on immune response.<ref name="NovImmunoNew" /> Immunological databases are another vital component of immunoinformatics, especially as other computational tools have increasingly produced large quantities of varied data. In 2014 Oxford Journals published a list of more than 30 such popular databases in its journal ''Nucleic Acids Research''.<ref name="OxID" /> | ||
Other informatics applications assist with text mining<ref name="Miotto05">{{cite journal | Other informatics applications assist with text mining<ref name="Miotto05">{{cite journal |author=Miotto, O.; Tan, T.W.; Brusic, V. |title=Supporting the curation of biological databases with reusable text mining |journal=Genome Inform |volume=16 |issue=2 |pages=32–44 |year=2005 |pmid=16901087}}</ref>, information management<ref name=McDAuto">{{cite journal |author=McDonald, R.; Scott Winters, R.; Ankuda, C.K. et al. |title=An automated procedure to identify biomedical articles that contain cancer-associated gene variants |journal=Human Mutation |volume=27 |issue=9 |pages=957–64 |year=2006 |pmid=16865690 |doi=10.1002/humu.20363}}</ref><ref name="WangAuto">{{cite journal |author=Wang, P.; Morgan, A.A.; Zhang, Q.; Sette, A.; Peters, B. |title=Automating document classification for the Immune Epitope Database |journal=BMC Bioinformatics |volume=8 |issue= |pages=269 |year=2007 |pmid=17655769 |pmc=1965490 |doi=10.1186/1471-2105-8-269}}</ref>, sequence analysis, and molecular interaction analysis. Attempts are also being made to extract interesting and complex patterns from non-structured text documents in the immunological domain, including allergen cross-reactivity information,<ref name="Miotto05" /> cancer-associated gene variant data, and immune epitope data. | ||
==See also== | ==See also== | ||
| Line 34: | Line 34: | ||
==Further reading== | ==Further reading== | ||
* {{cite book |url=https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA1 |chapter=Immunoinformatics and the In Silico Prediction of Immunogenicity: An Introduction |title=Immunoinformatics: Predicting Immunogenicity in Silico |author=Flower, Darren R. |publisher=Springer Science & Business Media |pages=1–15 |year=2007 |isbn=9781603271189}} | * {{cite book |url=https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA1 |chapter=Immunoinformatics and the In Silico Prediction of Immunogenicity: An Introduction |title=Immunoinformatics: Predicting Immunogenicity in Silico |author=Flower, Darren R. |publisher=Springer Science & Business Media |pages=1–15 |year=2007 |isbn=9781603271189}} | ||
==External links== | ==External links== | ||
* [ | * [https://www.imgt.org/ IMGT Information System] | ||
* [ | * [https://www.ebi.ac.uk/ipd/ Immuno Polymorphism Database] | ||
* [http://www.oxfordjournals.org/our_journals/nar/database/cat/14 Oxford Journals' listing of immunological databases] | * [http://www.oxfordjournals.org/our_journals/nar/database/cat/14 Oxford Journals' listing of immunological databases] | ||
* [http://www.syfpeithi.de/0-Home.htm SYFPEITHI] | * [http://www.syfpeithi.de/0-Home.htm SYFPEITHI] | ||
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==Notes== | ==Notes== | ||
This article reuses an element or two from [ | This article reuses an element or two from [https://en.wikipedia.org/wiki/Computational_immunology the Wikipedia article]. | ||
==References== | ==References== | ||
{{Reflist|colwidth=30em}} | |||
<!---Place all category tags here--> | <!---Place all category tags here--> | ||
[[Category:Informatics]] | [[Category:Informatics]] | ||
Latest revision as of 21:37, 6 January 2022
Immunoinformatics (sometimes referred to as computational immunology) is a sub-branch of bioinformatics that focuses on the use of data management and computational tools to improve immunological research. The scope of immunoinformatics covers a wide variety of territory, from genomic and proteomic study of the immune system to molecular- and organism-level modeling, putting it in close ties with genome informatics.[1][2]
History
Immunology researchers like Hans-Georg Rammensee trace the history of immunoinformatics back to the study of theoretical immunology. In June 1987, the Theoretical Immunology Workshop was hosted in Santa Fe, New Mexico to discuss "the topics of immune surveillance, mathematical models of HIV infection, complexities of antigen-antibody systems, immune suppression and tolerance, and idiotypie networks."[3][4][5]
One of the first immunoinformatics efforts to result in a long-term informatics solution was the construction of the IMGT information system in 1989 by the Laboratoire d'ImmunoGénétique Moléculaire (LIGM). Created to "standardize and manage the complexity of the immunogenetics data" coming out of the lab, the information system went on to become an international public reference for genetic and proteomic data related to immunology.[6] In July 1995, IMGT moved to the web, and by 2007 it was handling more than 140,000 requests per month.[7]
In 1999, the SYFPEITHI database for MHC ligands and T-cell epitopes – a component of an antigen or antibody generator – went public.[8]
In 2003, the Anthony Nolan Research Institute and the European Bioinformatics Institute developed the Immuno Polymorphism Database (IPD) "to provide a centralised system for the study of polymorphism in genes of the immune system."[9]
As of January 2015[update], the Oxford University Press lists over 30 different immunological databases in popular use.[10]
Application
Immunoinformatics can help tackle problems and tasks such as the following[6][1][11][12]:
- improving the development of biological therapeutics
- developing and improving analysis and data management solutions for immunogenetics
- developing and improving allergen and other immunological databases
- creating better mathematical and computer models of the immune system
- predicting protein allergenicity for the screening of novel foods before wide-scale release and use
- the design and development of peptide-based immuno-therapeutic drugs and vaccines
Informatics
One of the key informatics tools of immunology researchers is computational analysis software and systems, including modeling and simulation software. With modern software, an immunological question can be asked, the question can be interpreted into a computer-based computation or simulation, and the resulting data can then be output and analyzed for meaningful answers. T-cell receptors (TCRs) are molecular proteins vital to the immune response, and their diversity is estimated to ranges from 107 to 1015 different clonotypes, highlighting the need for powerful computational tools to better understand their effects on immune response.[1] Immunological databases are another vital component of immunoinformatics, especially as other computational tools have increasingly produced large quantities of varied data. In 2014 Oxford Journals published a list of more than 30 such popular databases in its journal Nucleic Acids Research.[10]
Other informatics applications assist with text mining[13], information management[14][15], sequence analysis, and molecular interaction analysis. Attempts are also being made to extract interesting and complex patterns from non-structured text documents in the immunological domain, including allergen cross-reactivity information,[13] cancer-associated gene variant data, and immune epitope data.
See also
Further reading
- Flower, Darren R. (2007). "Immunoinformatics and the In Silico Prediction of Immunogenicity: An Introduction". Immunoinformatics: Predicting Immunogenicity in Silico. Springer Science & Business Media. pp. 1–15. ISBN 9781603271189. https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA1.
External links
- IMGT Information System
- Immuno Polymorphism Database
- Oxford Journals' listing of immunological databases
- SYFPEITHI
Notes
This article reuses an element or two from the Wikipedia article.
References
- ↑ 1.0 1.1 1.2 Brusic, Vladimir; Petrovsky, Nikolai; Novartis Foundation (2004). "Immunoinformatics - The new kid in town". Immunoinformatics: Bioinformatic Strategies for Better Understanding of Immune Function. John Wiley & Sons. pp. 3–22. ISBN 9780470090756. https://books.google.com/books?id=iBJc1JO1WuwC&pg=PA3. Retrieved 20 January 2015.
- ↑ Flower, Darren R. (2007). "Immunoinformatics and the In Silico Prediction of Immunogenicity: An Introduction". Immunoinformatics: Predicting Immunogenicity in Silico. Springer Science & Business Media. pp. 1–15. ISBN 9781603271189. https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA1.
- ↑ "Theoretical Immunology, Part One". Westview Press. Archived from the original on 22 April 2016. https://web.archive.org/web/20160422182632/http://westviewpress.com/books/theoretical-immunology-part-one/. Retrieved 06 January 2022.
- ↑ Rammensee, Hans-Georg; Novartis Foundation (2004). "Chair's introduction". Immunoinformatics: Bioinformatic Strategies for Better Understanding of Immune Function. John Wiley & Sons. pp. 1–2. ISBN 9780470090756. https://books.google.com/books?id=iBJc1JO1WuwC&pg=PA1. Retrieved 20 January 2015.
- ↑ Perelson, Alan S. (Ed.) (1988). Theoretical Immunology: The Proceedings of the Theoretical Immunology Workshop, held June 1987, in Santa Fe, New Mexico. 1 and 2. Addison-Wesley Pub. Co. pp. 811. ISBN 9780201156829. http://books.google.com/books/about/Theoretical_immunology.html?id=DxxrAAAAMAAJ. Retrieved 20 January 2015.
- ↑ 6.0 6.1 Schönbach, Christian; Ranganathan, Shoba; Brusic, Vladimir (Eds.) (2007). Immunoinformatics. Springer Science & Business Media. pp. 200. ISBN 9780387729671. https://books.google.com/books?id=YgjWcFng-4YC&pg=PA1. Retrieved 20 January 2015.
- ↑ Lefranc, Marie-Paule; Flower, Darren R. (Ed.) (2007). "IMGT: The International ImmunoGeneTics Information System for Immunoinformatics". Immunoinformatics: Predicting Immunogenicity in Silico. Springer Science & Business Media. pp. 19–42. ISBN 9781603271189. https://books.google.com/books?id=IJtZurJ5BvoC&pg=PA19. Retrieved 20 January 2015.
- ↑ Rammensee, H.; Bachmann, J; Emmerich, N. P.; Bachor, O. A.; Stevanović, S. (November 1999). "SYFPEITHI: Database for MHC ligands and peptide motifs". Immunogenetics 50 (3–4): 213–219. doi:10.1007/s002510050595. PMID 10602881.
- ↑ "Immuno Polymorphism Database". EMBL-European Bioinformatics Institute. http://www.ebi.ac.uk/ipd/. Retrieved 20 January 2015.
- ↑ 10.0 10.1 "2014 NAR Database Summary Paper Category List". Oxford University Press. http://www.oxfordjournals.org/our_journals/nar/database/cat/14. Retrieved 20 January 2015.
- ↑ Tong, J.C.; Tammi, M.T. (2008). "Methods and protocols for the assessment of protein allergenicity and cross-reactivity". Frontiers in Bioscience 13: 4882–4888. doi:10.2741/3047. PMID 18508553.
- ↑ Brusic, V.; van Endert, P.; Zeleznikow, J.; Daniel, S.; Hammer, J.; Petrovsky, N. (1999). "A neural network model approach to the study of human TAP transporter". In Silico Biology 1 (2): 109–21. PMID 11471244.
- ↑ 13.0 13.1 Miotto, O.; Tan, T.W.; Brusic, V. (2005). "Supporting the curation of biological databases with reusable text mining". Genome Inform 16 (2): 32–44. PMID 16901087.
- ↑ McDonald, R.; Scott Winters, R.; Ankuda, C.K. et al. (2006). "An automated procedure to identify biomedical articles that contain cancer-associated gene variants". Human Mutation 27 (9): 957–64. doi:10.1002/humu.20363. PMID 16865690.
- ↑ Wang, P.; Morgan, A.A.; Zhang, Q.; Sette, A.; Peters, B. (2007). "Automating document classification for the Immune Epitope Database". BMC Bioinformatics 8: 269. doi:10.1186/1471-2105-8-269. PMC 1965490. PMID 17655769. https://www.ncbi.nlm.nih.gov/pmc/articles/1965490.
