BMC Systems Biology

BMC Systems Biology was an open access peer-reviewed scientific journal that covered research in systems biology. Filling a gap in what was a new research field, the journal was established in 2007 and is published by BioMed Central.^[1] Part of the BMC Series of journals, it had a broad scope covering the engineering of biological systems, network modelling, quantitative analyses, integration of different levels of information and synthetic biology.^[2]

BMC Systems Biology

Discipline	Systems biology
Language	English
Publication details
History	2007–2019
Publisher	BioMed Central
Frequency	Upon publication
Open access	Yes
Impact factor	2.048 (2018)
Standard abbreviations ISO 4 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt )
ISO 4	BMC Syst. Biol.
Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus · W&L
ISSN	1752-0509
OCLC no.	76922333
Links
Journal homepage

In January 2019, the Editorial Board was informed that the journal was closing and no more submissions would be accepted after March 1.^[3] The last articles were published on 5 April 2019, but content is still archived in perpetuity from the homepage and PubMed Central.^{[citation needed]}

Scope and Coverage

BMC Systems Biology focused on a wide range of topics within systems biology, including but not limited to:

• Engineering of biological systems
• Network modelling
• Quantitative analyses
• Integration of different levels of information
• Synthetic biology

The journal provided a platform for the dissemination of significant research findings in the area of systems biology, aiming to bridge the gap between biological research and mathematical modelling.^[4]

Notable Articles and Research

Several significant studies were published in the journal, contributing to the advancement of systems biology. Some notable research includes:

• "A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice"^[5]
• "Network-based characterization of drug-protein interaction signatures with a space-efficient approach"^[6]
• "Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus"^[7]

Impact and Legacy

The journal's impact factor in 2018 was 2.048, reflecting its influence and relevance in the field of systems biology.^[8] Although the journal is now closed, its archived content continues to serve as a valuable resource for researchers and scholars.

See also

• Systems and Synthetic Biology (until 2015)