BMC Systems Biology
 |
| Discipline | Systems biology |
|---|---|
| Language | English |
| Publication details | |
| History | 2007–2019 |
| Publisher | |
| Frequency | Upon publication |
| Yes | |
| 2.048 (2018) | |
| Standard abbreviations | |
| ISO 4 | BMC Syst. Biol. |
| Indexing | |
| ISSN | 1752-0509 |
| OCLC no. | 76922333 |
| Links | |
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]
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
[edit | edit source]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
[edit | edit source]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
[edit | edit source]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
[edit | edit source]- Systems and Synthetic Biology (until 2015)
References
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