Molecular Systems Biology is an online-only, open access journal brought to you by Nature Publishing Group (NPG) and the European Molecular Biology Organization (EMBO).

The quality of the journal is guaranteed by the editorial and advisory boards, consisting of leading researchers in the field of systems biology, together with the commitment to scientific excellence and the professionalism of EMBO and NPG.

Molecular Systems Biology covers all aspects of the rapidly growing and interdisciplinary field of systems biology at the molecular level, and will attract and help shape the highest quality research in the evolving areas of genomics, proteomics, metabolomics, bioinformatics, microbial systems, and the integration of cell signaling and regulatory networks. The journal will work together with the systems biology community to establish guidelines, standards and metrics for global complex datasets.

Molecular Systems Biology features enhanced support for structured data formats such as Systems Biology Markup Language (SBML), interactive figures and rich links from papers to related databases and other web resources.

Molecular systems biology is an integrative discipline that seeks to explain the properties and behaviour of complex biological systems in terms of their molecular components and their interactions.

Molecular Systems Biology is a peer-reviewed author-pays online journal that publishes full-length papers and accompanying synopses describing original research in the field of molecular systems biology and which focuses on the analysis, integration and modeling of molecular and cellular phenomena. Since molecular systems biology relies on a variety of computational and high-throughput technologies, the journal makes full use of the online to allow reader interaction with data and models presented in the published articles.

Topics falling within the scope of the journal include, but are not limited to: Proteomics; Metabolomics; Functional genomics; Structural genomics; Transcriptomics; Computational biology; Bioinformatics; Theoretical biology; Synthetic biology.