{"49709":{"#nid":"49709","#data":{"type":"event","title":"Small Systems Biology","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E Small Systems Biology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u003C\/strong\u003E Professor Eberhard O. Voit\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe combination of high-throughput methods of molecular biology with \nadvanced mathematical and computational techniques has propelled the \nemergent field of systems biology into a position of prominence. \nUnthinkable only a decade ago, it has become possible to screen and \nanalyze the expression of entire genomes, simultaneously assess large \nnumbers of proteins and their prevalence, and characterize in detail the \nmetabolic state of a cell population. While very important, the focus on \ncomprehensive networks of biological components is only one side of \nsystems biology. Complementing large-scale assessments, and sometimes at \nrisk of being forgotten, are more subtle analyses that rationalize the \ndesign and functioning of biological modules in exquisite detail. This \nintricate side of systems biology aims at identifying the specific roles \nof processes and signals in smaller, fully regulated systems by \ncomputing what would happen if these signals were lacking or organized \nin a different fashion. I will exemplify this type of approach with two \nexamples. The first is a detailed analysis of the regulation of glucose \nutilization in \u003Cem\u003E\/Lactococcus lactis\/\u003C\/em\u003E. This organism is exposed to \nalternating periods of glucose availability and starvation. During \nstarvation, it accumulates an intermediate of glycolysis, which allows \nit to take up glucose immediately upon availability. This notable \naccumulation poses a non-trivial control task that is solved with an \nunusual, yet ingeniously designed and timed feedforward activation \nsystem. The elucidation of this control system required high-precision \n\u003Cem\u003E\/in vivo\/\u003C\/em\u003E data on the dynamics of intracellular metabolite pools, \ncombined with methods of nonlinear systems analysis, and may serve as a \nparadigm for multidisciplinary approaches to fine-scaled systems \nbiology. The second example describes our attempts to understand signal \ntransduction in the human brain, along with perturbations in diseases \nlike Parkinson\u2019s disease and Schizophrenia.\n\u003Cbr \/\u003E\n\u003Cbr \/\u003E\n\u003Cbr \/\u003E*\/References:\/*\n\u003Cbr \/\u003E\n\u003Cbr \/\u003EVoit, E.O.: \/Computational Analysis of Biochemical Systems. A Practical \nGuide for Biochemists and Molecular Biologists\/, xii + 530 pp., \nCambridge University Press, Cambridge, U.K., 2000.\n\u003Cbr \/\u003E\n\u003Cbr \/\u003EVoit, E.O., A.R. Neves, and H. Santos. The Intricate Side of Systems \nBiology. \u003Cem\u003E\/PNAS\/\u003C\/em\u003E, 103(25), 9452-9457, 2006.\n\u003Cbr \/\u003E\n\u003Cbr \/\u003EQi, Z., G. W. Miller, and E. O. Voit: Computational analysis of \ndeterminants of dopamine dysfunction. \u003Cem\u003E\/Synapse\/\u003C\/em\u003E* 63*: 1133-1142, 2009.\n\u003Cbr \/\u003E\n\u003Cbr \/\u003EWu, Jialiang, Z. Qi, and E.O. Voit: Investigation of delays and noise in \ndopamine signaling with hybrid functional Petri nets. In Silico Biol. \n10, 0005 (2010).\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Small Systems Biology","format":"limited_html"}],"field_summary_sentence":[{"value":"Small Systems Biology"}],"uid":"27187","created_gmt":"2010-01-26 08:05:58","changed_gmt":"2016-10-08 01:49:32","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-01-29T11:00:00-05:00","event_time_end":"2010-01-29T12:00:00-05:00","event_time_end_last":"2010-01-29T12:00:00-05:00","gmt_time_start":"2010-01-29 16:00:00","gmt_time_end":"2010-01-29 17:00:00","gmt_time_end_last":"2010-01-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"277","name":"Biology"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}