BMC Systems Biology

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Scope and Coverage

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

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:

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

Related Research Articles

<span class="mw-page-title-main">Bistability</span> Quality of a system having two stable equilibrium states

In a dynamical system, bistability means the system has two stable equilibrium states. A bistable structure can be resting in either of two states. An example of a mechanical device which is bistable is a light switch. The switch lever is designed to rest in the "on" or "off" position, but not between the two. Bistable behavior can occur in mechanical linkages, electronic circuits, nonlinear optical systems, chemical reactions, and physiological and biological systems.

<span class="mw-page-title-main">Beta cell</span> Type of cell found in pancreatic islets

Beta cells (β-cells) are specialized endocrine cells located within the pancreatic islets of Langerhans responsible for the production and release of insulin and amylin. Constituting ~50–70% of cells in human islets, beta cells play a vital role in maintaining blood glucose levels. Problems with beta cells can lead to disorders such as diabetes.

<span class="mw-page-title-main">Computational biology</span> Branch of biology

Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics. It differs from biological computing, a subfield of computer science and engineering which uses bioengineering to build computers.

<span class="mw-page-title-main">Gene regulatory network</span> Collection of molecular regulators

A generegulatory network (GRN) is a collection of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins which, in turn, determine the function of the cell. GRN also play a central role in morphogenesis, the creation of body structures, which in turn is central to evolutionary developmental biology (evo-devo).

<span class="mw-page-title-main">Systems biology</span> Computational and mathematical modeling of complex biological systems

Systems biology is the computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach to biological research.

<span class="mw-page-title-main">Synthetic biology</span> Interdisciplinary branch of biology and engineering

Synthetic biology (SynBio) is a multidisciplinary field of science that focuses on living systems and organisms, and it applies engineering principles to develop new biological parts, devices, and systems or to redesign existing systems found in nature.

<span class="mw-page-title-main">Metabolic network modelling</span> Form of biological modelling

Metabolic network modelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular mechanisms of a particular organism. In particular, these models correlate the genome with molecular physiology. A reconstruction breaks down metabolic pathways into their respective reactions and enzymes, and analyzes them within the perspective of the entire network. In simplified terms, a reconstruction collects all of the relevant metabolic information of an organism and compiles it in a mathematical model. Validation and analysis of reconstructions can allow identification of key features of metabolism such as growth yield, resource distribution, network robustness, and gene essentiality. This knowledge can then be applied to create novel biotechnology.

<span class="mw-page-title-main">Flux balance analysis</span>

Flux balance analysis (FBA) is a mathematical method for simulating metabolism in genome-scale reconstructions of metabolic networks. In comparison to traditional methods of modeling, FBA is less intensive in terms of the input data required for constructing the model. Simulations performed using FBA are computationally inexpensive and can calculate steady-state metabolic fluxes for large models in a few seconds on modern personal computers. The related method of metabolic pathway analysis seeks to find and list all possible pathways between metabolites.

<span class="mw-page-title-main">BioModels</span> Database of biological reactions

BioModels is a free and open-source repository for storing, exchanging and retrieving quantitative models of biological interest created in 2006. All the models in the curated section of BioModels Database have been described in peer-reviewed scientific literature.

Systems immunology is a research field under systems biology that uses mathematical approaches and computational methods to examine the interactions within cellular and molecular networks of the immune system. The immune system has been thoroughly analyzed as regards to its components and function by using a "reductionist" approach, but its overall function can't be easily predicted by studying the characteristics of its isolated components because they strongly rely on the interactions among these numerous constituents. It focuses on in silico experiments rather than in vivo.

The Journal of Biology was a peer-reviewed scientific journal published by BioMed Central. It was established in 2002 with the aim to provide an alternative to biology journals with high-impact factor such as Nature, Science, and Cell. Because of stringent selection criteria, it published only a few research articles per year, only four in 2007, for example, with the rest being comment and short review articles. The research articles were published as open access and many of these research articles were highly cited.

Fluxomics describes the various approaches that seek to determine the rates of metabolic reactions within a biological entity. While metabolomics can provide instantaneous information on the metabolites in a biological sample, metabolism is a dynamic process. The significance of fluxomics is that metabolic fluxes determine the cellular phenotype. It has the added advantage of being based on the metabolome which has fewer components than the genome or proteome.

<span class="mw-page-title-main">Douglas Kell</span> British biochemist


Douglas Bruce Kell is a British biochemist and Professor of Systems Biology in the Institute of Systems, Molecular and Integrative Biology at the University of Liverpool. He was previously at the School of Chemistry at the University of Manchester, based in the Manchester Institute of Biotechnology (MIB) where he founded and led the Manchester Centre for Integrative Systems Biology (MCISB). He served as chief executive officer (CEO) of the Biotechnology and Biological Sciences Research Council (BBSRC) from 2008 to 2013.

<span class="mw-page-title-main">MIRIAM Registry</span>

The MIRIAM Registry, a by-product of the MIRIAM Guidelines, is a database of namespaces and associated information that is used in the creation of uniform resource identifiers. It contains the set of community-approved namespaces for databases and resources serving, primarily, the biological sciences domain. These shared namespaces, when combined with 'data collection' identifiers, can be used to create globally unique identifiers for knowledge held in data repositories. For more information on the use of URIs to annotate models, see the specification of SBML Level 2 Version 2.

Geobacter metallireducens is a gram-negative metal-reducing proteobacterium. It is a strict anaerobe that oxidizes several short-chain fatty acids, alcohols, and monoaromatic compounds with Fe(III) as the sole electron acceptor. It can also use uranium for its growth and convert U(VI) to U(IV).

Weighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method especially for studying biological networks based on pairwise correlations between variables. While it can be applied to most high-dimensional data sets, it has been most widely used in genomic applications. It allows one to define modules (clusters), intramodular hubs, and network nodes with regard to module membership, to study the relationships between co-expression modules, and to compare the network topology of different networks. WGCNA can be used as a data reduction technique, as a clustering method, as a feature selection method, as a framework for integrating complementary (genomic) data, and as a data exploratory technique. Although WGCNA incorporates traditional data exploratory techniques, its intuitive network language and analysis framework transcend any standard analysis technique. Since it uses network methodology and is well suited for integrating complementary genomic data sets, it can be interpreted as systems biologic or systems genetic data analysis method. By selecting intramodular hubs in consensus modules, WGCNA also gives rise to network based meta analysis techniques.

Identifiers.org is a project providing stable and perennial identifiers for data records used in the Life Sciences. The identifiers are provided in the form of Uniform Resource Identifiers (URIs). Identifiers.org is also a resolving system, that relies on collections listed in the MIRIAM Registry to provide direct access to different instances of the identified records.

Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute the behaviour of biological molecules or complexes that can adopt a large number of possible functional states.

Princess Imoukhuede is an American chemical engineer who is a Professor in Bioengineering at the University of Washington. Before 2022, she was an associate professor at the Washington University in St. Louis. She was awarded the 2018 Illinois Mathematics and Science Academy Distinguished Leadership Award and the 2018 Nano Research Young Innovators Award in Nanobiotechnology. Her first name is 'Princess' and she holds no royal title or position in any capacity.

References

  1. Hodgkinson, Matt J.; Webb, Penelope A. (4 September 2007). "A system for success: BMC Systems Biology, a new open access journal". BMC Systems Biology. 1: 41. doi: 10.1186/1752-0509-1-41 . ISSN   1752-0509. PMC   1976322 . PMID   17784938.
  2. "BMC Systems Biology". BMC Systems Biology. Archived from the original on 7 May 2017. Retrieved 23 July 2017.
  3. Mendes, Pedro (18 January 2019). "Springer-Nature is killing BMC Systems Biology. No more submissions accepted after March 1. Feeling that I wasted my time in that journal's editorial board. Time to get involved with non-profit publishers!". @gepasi. Retrieved 6 January 2020.
  4. Hodgkinson, Matt J.; Webb, Penelope A. (4 September 2007). "A system for success: BMC Systems Biology, a new open access journal". BMC Systems Biology. 1: 41. doi: 10.1186/1752-0509-1-41 . ISSN   1752-0509. PMC   1976322 . PMID   17784938.
  5. Hodgkinson, Matt J.; Webb, Penelope A. (4 September 2007). "A system for success: BMC Systems Biology, a new open access journal". BMC Systems Biology. 1: 41. doi: 10.1186/1752-0509-1-41 . ISSN   1752-0509. PMC   1976322 . PMID   17784938.
  6. "Network-based characterization of drug-protein interaction signatures". BMC Systems Biology. Retrieved 23 July 2024.
  7. "Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus". BMC Systems Biology. Retrieved 23 July 2024.
  8. "BMC Systems Biology: Impact Factor, Ranking, H-Index, ISSN, CiteScore, SJR and Other Key Journal Metrics". Researcher.Life. Retrieved 23 July 2024.