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Molecular Systems Biology

Molecular Systems Biology

publishes high-quality research and pioneering technological advances that lead to novel system-level insights in all areas of molecular life sciences.

The highest standards are guaranteed by a prestigious board of senior and advisory editors composed of leading scientists in the fields of Systems Biology, Synthetic Biology and Systems Medicine.

Published jointly by Nature Publishing Group and EMBO, Molecular Systems Biology offers immediate open access to its content and is committed to accelerate dissemination of published findings and research data.

Topics falling within the scope of the journal include, but are not limited to:

Proteomics
Metabolomics
Functional genomics
Structural genomics
Transcriptomics
Computational biology
Bioinformatics
Synthetic biology

Publications

Molecular Systems Biology - Issue - nature.com science feeds

Prediction and identification of sequences coding for orphan enzymes using genomic and metagenomic neighbours
Many characterized metabolic enzymes currently lack associated gene and protein sequences. Here, pathway and genomic neighbour data are used to assign genes to these ‘orphan enzymes,’ and the predictions are validated with experimental assays and genome-scale metabolic modelling.
A dynamical model of the spindle position checkpoint
The spindle position checkpoint (SPOC) is an important surveillance mechanism in the budding yeast cell cycle. An integrated approach, combining quantitative experimental cell biology with mathematical modeling, reveals how the SPOC inhibits mitotic exit at the molecular level.
Single-cell analysis of population context advances RNAi screening at multiple levels
A large set of high-content RNAi screens investigating mammalian virus infection and multiple cellular activities is analysed to reveal the impact of population context on phenotypic variability and to identify indirect RNAi effects.
A framework for mapping, visualisation and automatic model creation of signal-transduction networks
An intuitive formalism for reconstructing cellular networks from empirical data is presented, and used to build a comprehensive yeast MAP kinase network. The accompanying rxncon software tool can convert networks to a range of standard graphical formats and mathematical models.
Asymmetric positive feedback loops reliably control biological responses
A common regulatory motif, where a heterodimeric transcriptional regulator positively autoregulates only one of its components, is found to have particular properties that enable precise and robust control of cellular responses to environmental stimuli, providing an explanation for the prevalence of this motif in evolved regulatory networks.

EDITORS

Senior Editors
Ruedi Aebersold
Peer Bork
George Church
Leroy Hood
Edison Liu

Chief Editor
Thomas Lemberger

Editor
Andrew Hufton

Editorial Assistant
Jana Christopher

Graphics
Valeria Kaplan

website www.nature.com/msb

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