What is Systems Biology?

By Rainer Breitling. Front. Physiology, 2010

667 citations recorded by the source corpus.

Systems biology is increasingly popular, but to many biologists it remains unclear what this new discipline actually encompasses. This brief personal perspective starts by outlining the asthetic qualities that motivate systems biologists, discusses which activities do not belong to the core of systems biology, and finally explores the crucial link with synthetic biology. It concludes by attempting to define systems biology as the research endeavor that aims at providing the scientific foundation for successful synthetic biology.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bb3aaaf9416091211268ac88f8882ca2b1caaf92

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Citations in the corpus

BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions (2010, methodology): “This XML format is widely used for distributing systems biology models [46].”
KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways (2009, neutral): “INTRODUCTION Systems biology (SB) has emerged as an approach to studying biological systems by understanding how the heterogeneous parts combine to form the whole (Henry, 2003) through systematic , 2006).”
Control Principles of Complex Networks (2015, background): “Furthermore, since issues of regulation and control are central to the study of biological and biochemical systems, the concepts and tools developed in control theory have proven useful in the study of biological mechanisms and disease treatment (Iglesias and Ingalls, 2009; Sontag, 2004).”
Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks (2008, background): “The interaction of biological entities such as genes, proteins and metabolites is of great interest in life science research and is increasingly important for systems biological approaches (Oltvai and Barabási (2002); Kitano (2002)).”
Lessons Learned from Quantitative Dynamical Modeling in Systems Biology (2013, background): “The dynamics of these processes, i.e. the time evolution of the concentrations of the involved molecular compounds, can often be modeled by systems of ODEs [3] d dt x(t,h)~fx(x(t,h),u(t),h)~N:v(x(t,h),u(t),h): ð1Þ The variables x correspond to the dynamics of the concentration of n molecular compoun”
Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community (2019, background): “systems by integrating multiple types of quantitative molecular measurements with well-designed mathematical models [1,2].”
The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology (2019, background): “…and Dunham, 2014; Long et al., 2015; Long 26 and Antoniewicz, 2018; Remigi et al., 2019), the role of systems biology and in silico 27 evolution (Hansen et al., 2017; Hindré et al., 2012; Papp et al., 2011), overall strategies 28 to improve metabolic performance (Rabbers et al., 2015; Shepelin…”
Big Data Analytics in Healthcare (2015, methodology): “There are multiple approaches to analyzing genome-scale data using a dynamical system framework [135, 152, 159].”
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Countering GATTACA: efficient and secure testing of fully-sequenced human genomes (2011, background): “Personalized Medicine is recognized as a significant paradigm shift and a major trend in health care, moving us closer to a more precise, powerful, and holistic type of medicine [82].”