Journals / Arşiv Kaynak Tarama Dergisi / 2010 / Cilt: 19 - Sayı: 1

Systems Biology

Sistem Biyolojisi

Pages
25–35
Publication Date
2010-03-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Systems biology quantifies the data gathered from these disciplines by making mathematical models and thus, it creates living system models by using computers and obtains information about the whole system.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Systems biology is a newly emerged and multi-disciplinary study field that aims to understand the living organisms as complex, interacted and integrated networks of genes, proteins and biochemical reactions unlike the classical biology that have a reductionist approach.
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Key Findings & Data:Instead of examining the proteins, genes and metabolic pathways separately like genetics, biology or biochemistry do, this study field accepts a new holistic approach which assumes that all the elements are pieces of a whole and they work by interacting with each other.
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Conclusion & Impact:Systems biology quantifies the data gathered from these disciplines by making mathematical models and thus, it creates living system models by using computers and obtains information about the whole system.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bütünleşmiş Yaklaşım · İndirgenmiş Yaklaşım · Matematiksel Biyolojik Modeller

Abstract

Systems biology is a newly emerged and multi-disciplinary study field that aims to understand the living organisms as complex, interacted and integrated networks of genes, proteins and biochemical reactions unlike the classical biology that have a reductionist approach. Instead of examining the proteins, genes and metabolic pathways separately like genetics, biology or biochemistry do, this study field accepts a new holistic approach which assumes that all the elements are pieces of a whole and they work by interacting with each other. This study field consists of the integration of genomics, transcriptomics, proteomics, metabolomics, glycomics, interactomics, fluxomics and bioinformatics. Systems biology quantifies the data gathered from these disciplines by making mathematical models and thus, it creates living system models by using computers and obtains information about the whole system.

Özet

Sistem biyolojisi, klasik biyolojideki indirgemeci yaklaşımın aksine, canlıların genler, proteinler ve biyokimyasal tepkimelerin etkileşen ve bütünleşmiş ağ yapısı olarak algılanarak girift şekilde incelenmesini amaçlayan çok yeni ve çok disiplinli bir bilim dalıdır. Bu bilim dalı moleküler biyoloji, genetik, biyokimya vb. bilim dallarında olduğu gibi tek tek proteinlerin, genlerin ya da belirli bir metabolizmaya ait yolağının incelenmesi yerine tüm parçaların bir bütünün parçaları olduğunu ve etkileşerek çalıştığını kabul eden bütünleştirici yeni bir yaklaşımı benimsemektedir. Bu bilim dalı genomik, transkriptomik, proteomik, metabolomik, glikomik, interaktomik, fluksomik ve biyoinformatiğin birleşiminden oluşur. Bu disiplinlerden elde ettiği verileri matematiksel modellere dökerek gözlemsel kabul edilen biyolojiyi sayısallaştırır ve bu sayede bilgisayarlar yardımıyla canlı sistem modelleri yaratarak tüm sistem hakkında bilgi edinir.

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Cite This Article

KASAP, H., PAZARCI, P., ERKOÇ, M. A. (2010). Systems Biology. Arşiv Kaynak Tarama Dergisi, Cilt: 19 - Sayı: 1, 25–35. https://ajindex.com/articles/466255

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References (5)

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