Building momentum for systems and synthetic biology in India
Biological systems are inherently noisy. Predicting the outcome of a perturbation is extremely challenging. Traditional reductionist approach of describing properties of parts, vis-a-vis higher level behaviour has led to enormous understanding of fundamental molecular level biology. This approach ty...
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creator | Krishnan, Remya Manjaly-Antony, Lijo Anto Dhar, Pawan K. |
description | Biological systems are inherently noisy. Predicting the outcome of a perturbation is extremely challenging. Traditional reductionist approach of describing properties of parts, vis-a-vis higher level behaviour has led to enormous understanding of fundamental molecular level biology. This approach typically consists of converting genes into junk (knock-down) and garbage (knock-out) and observe how a system responds. To enable broader understanding of biological dynamics, an integrated computational and experimental strategy was formally proposed in mid 1990s leading to the re-emergence of Systems Biology. However, soon it became clear that natural systems were far more complex than expected. A new strategy to address biological complexity was proposed at MIT (Massachusetts Institute of Technology) in June 2004, when the first meeting of synthetic biology was held. Though the term ‘synthetic biology’ was proposed during 1970s (Szybalski in Control of gene expression, Plenum Press, New York,
1974
), the usage of the original concept found an experimental proof in 2000 with the demonstration of a three-gene circuit called repressilator (Elowitz and Leibler in Nature, 403:335–338,
2000
). This encouraged people to think of forward engineering biology from a set of well described parts. |
doi_str_mv | 10.1007/s11693-011-9071-x |
format | Article |
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1974
), the usage of the original concept found an experimental proof in 2000 with the demonstration of a three-gene circuit called repressilator (Elowitz and Leibler in Nature, 403:335–338,
2000
). This encouraged people to think of forward engineering biology from a set of well described parts.</description><identifier>ISSN: 1872-5325</identifier><identifier>EISSN: 1872-5333</identifier><identifier>DOI: 10.1007/s11693-011-9071-x</identifier><identifier>PMID: 22132049</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Biology ; Biomedical and Life Sciences ; Biomedicine ; Biotechnology ; Computational Biology/Bioinformatics ; Editorial ; Metabolomics ; Systems Biology</subject><ispartof>Systems and synthetic biology, 2010-12, Vol.4 (4), p.237-240</ispartof><rights>Springer Science+Business Media B.V. 2011</rights><rights>Springer Science+Business Media B.V. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c335x-71264ab96a5fb65b2263e56fa86e04e0eea47ecf70d042c06c5b8ddf7ef8a3883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065590/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065590/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22132049$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krishnan, Remya</creatorcontrib><creatorcontrib>Manjaly-Antony, Lijo Anto</creatorcontrib><creatorcontrib>Dhar, Pawan K.</creatorcontrib><title>Building momentum for systems and synthetic biology in India</title><title>Systems and synthetic biology</title><addtitle>Syst Synth Biol</addtitle><addtitle>Syst Synth Biol</addtitle><description>Biological systems are inherently noisy. Predicting the outcome of a perturbation is extremely challenging. Traditional reductionist approach of describing properties of parts, vis-a-vis higher level behaviour has led to enormous understanding of fundamental molecular level biology. This approach typically consists of converting genes into junk (knock-down) and garbage (knock-out) and observe how a system responds. To enable broader understanding of biological dynamics, an integrated computational and experimental strategy was formally proposed in mid 1990s leading to the re-emergence of Systems Biology. However, soon it became clear that natural systems were far more complex than expected. A new strategy to address biological complexity was proposed at MIT (Massachusetts Institute of Technology) in June 2004, when the first meeting of synthetic biology was held. Though the term ‘synthetic biology’ was proposed during 1970s (Szybalski in Control of gene expression, Plenum Press, New York,
1974
), the usage of the original concept found an experimental proof in 2000 with the demonstration of a three-gene circuit called repressilator (Elowitz and Leibler in Nature, 403:335–338,
2000
). 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1974
), the usage of the original concept found an experimental proof in 2000 with the demonstration of a three-gene circuit called repressilator (Elowitz and Leibler in Nature, 403:335–338,
2000
). This encouraged people to think of forward engineering biology from a set of well described parts.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>22132049</pmid><doi>10.1007/s11693-011-9071-x</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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title | Building momentum for systems and synthetic biology in India |
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