Systems Biology

Section edited by Martin Lercher and Itai Yanaiuyne

Systems biology aims to build and apply models for biological systems too complex to be understood intuitively. The systems may comprise, for example, genes, their products, or metabolites, but the focus of the research should be the connections between the parts rather than the parts themselves. Suitable research includes work on systems at all scales, including, but not limited to, metabolic networks, signalling networks, and developmental pathways. Theoretical work should lead to testable predictions that can be applied to biological data. Evolutionary comparisons of systems are particularly welcome, as are analyses of systems-level properties and their relations to biological function.

  1. Research

    Unexpected links reflect the noise in networks

    Gene covariation networks are commonly used to study biological processes. The inference of gene covariation networks from observational data can be challenging, especially considering the large number of play...

    Anatoly Yambartsev, Michael A. Perlin, Yevgeniy Kovchegov, Natalia Shulzhenko, Karina L. Mine, Xiaoxi Dong and Andrey Morgun

    Biology Direct 2016 11:52

    Published on: 13 October 2016

  2. Hypothesis

    Synthetic circuit designs for earth terraformation

    Mounting evidence indicates that our planet might experience runaway effects associated to rising temperatures and ecosystem overexploitation, leading to catastrophic shifts on short time scales. Remediation s...

    Ricard V. Solé, Raúl Montañez and Salva Duran-Nebreda

    Biology Direct 2015 10:37

    Published on: 18 July 2015

  3. Comment

    Microbes on the edge of Occam’s razor

    Our body harbors hundreds of microbial species and contains many more bacterial than human cells. These microbes are not passive riders but rather a vital component of the organism. The human microbiota affect...

    Petro Starokadomskyy

    Biology Direct 2014 10:25

    Published on: 30 November 2014

  4. Review

    Profiling the orphan enzymes

    The emergence of Next Generation Sequencing generates an incredible amount of sequence and great potential for new enzyme discovery. Despite this huge amount of data and the profusion of bioinformatic methods ...

    Maria Sorokina, Mark Stam, Claudine Médigue, Olivier Lespinet and David Vallenet

    Biology Direct 2014 9:10

    Published on: 6 June 2014