BMC Systems Biology

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Systems Biology and Cancer Metabolism Laboratory, Fabian V. Filipp. CC BY-NC-SA

Featured blog: Systems biology study identifies acquired cancer resistance beyond mutations

Precision targeting offers hope after a life-changing cancer diagnosis. However, some cancers that initially respond to targeted chemotherapy become treatment-resistant — and this may have nothing to do with the drug itself. This blog describes new research helps explain how therapy-resistant cancers arise — findings with important implications for the future of cancer therapy.

Call for papers: Systems Medicine

New Content Item BMC Systems Biology is delighted to announce the launch of a thematic series focused on highlighting original research on the emerging field of 'Systems Medicine', which will review and feature applied translational research on biological mechanisms, including the tailoring of diagnosis, prevention and treatment of disease via a multitude of methods.

Featured article: Image analysis driven single-cell analytics for systems microbiology

Balomenos et al present BaSCA, a novel Bacterial image analysis driven single-cell analytics pipeline, which enables the high throughput analysis, down to the single-cell level, of complex time lapse cell movies with many colonies and potentially thousands of cells in the field of view. The results presented demonstrate its robustness and universality.

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Most accessed

Content type: Research article
| 7 August 2018

Statistical relationship between metabolic decomposition and chemical uptake predicts bioconcentration factor data for diverse chemical exposures

Authors: Michael A. Rowland, Hannah Wear, Karen H. Watanabe, Kurt A. Gust and Michael L. Mayo
Content type: Research article
| 31 July 2018

A systematic survey of centrality measures for protein-protein interaction networks

Authors: Minoo Ashtiani, Ali Salehzadeh-Yazdi, Zahra Razaghi-Moghadam, Holger Hennig, Olaf Wolkenhauer, Mehdi Mirzaie and Mohieddin Jafari
Content type: Methodology article
| 27 July 2018

Evaluating model reduction under parameter uncertainty

Authors: Håvard G. Frøysa, Shirin Fallahi and Nello Blaser
Content type: Research article
| 25 July 2018

Extracting proteins involved in disease progression using temporally connected networks

Authors: Rajat Anand, Dipanka Tanu Sarmah and Samrat Chatterjee
Content type: Research article
| 17 July 2018

High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology

Authors: Hooman Sedghamiz, Matthew Morris, Travis J. A. Craddock, Darrell Whitley and Gordon Broderick

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Content type: Research Article
| 3 December 2015

Tracing regulatory routes in metabolism using generalised supply-demand analysis

Authors: Carl D. Christensen, Jan-Hendrik S. Hofmeyr and Johann M. Rohwer
Content type: Research article
| 23 August 2011

Biological interaction networks are conserved at the module level

Authors: Guy E Zinman, Shan Zhong and Ziv Bar-Joseph
Content type: Proceedings
| 12 December 2012

Systematic Comparison of C3 and C4 Plants Based on Metabolic Network Analysis

Authors: Chuanli Wang, Longyun Guo, Yixue Li and Zhuo Wang
Content type: Database
| 2 October 2013

A comprehensive map of the influenza A virus replication cycle

Authors: Yukiko Matsuoka, Hiromi Matsumae, Manami Katoh, Amie J Eisfeld, Gabriele Neumann, Takeshi Hase, Samik Ghosh, Jason E Shoemaker, Tiago JS Lopes, Tokiko Watanabe, Shinji Watanabe, Satoshi Fukuyama, Hiroaki Kitano and Yoshihiro Kawaoka
Content type: Review
| 13 March 2014

Bioinformatic analysis of proteomics data

Authors: Andreas Schmidt, Ignasi Forne and Axel Imhof

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BMC Series blog

Not too much and not too little: the right amount of social network site use may reduce loneliness among mothers of young children

16 August 2018
Longer hours on social media may increase teens’ risk of cyberbullying

14 August 2018
Can social attachment contribute to problematic Facebook use?

10 August 2018

Aims and scope

BMC Systems Biology is an open access journal publishing original peer-reviewed research articles in experimental and theoretical aspects of the function of biological systems at the molecular, cellular or organismal level, in particular those addressing the engineering of biological systems, network modelling, quantitative analyses, integration of different levels of information and synthetic biology.

Editor

Alison Cuff, BioMed Central

Section Editors

Nitin Baliga, Institute for Systems Biology
Christina Chan, Michigan State University
Luonan Chen, Chinese Academy of Sciences
Sang Yup Lee, Korea Advanced Institute of Science and Technology
Pedro Mendes, Univ. of Manchester/Univ. Connecticut Health Center
Matteo Pellegrini, University of California, Los Angeles

Nitin Baliga, Section Editor

Nitin Baliga serves as Professor at the Institute for Systems Biology, where he was one of the founding members, and currently serves as the Director and Senior Vice President. He leads a cross-disciplinary team of scientists to address complex problems relevant to global health, personalized medicine, energy, and environment.

Model of the month

From BioModels at EMBL-EBI

May 2018 by Matthew Roberts

New Content Item

Lactococcus lactis has been genetically modified to increase the yield of mannitol and 2,3-butanediol. Costa et al. (2014) presented a mathematical model that provided new targets to further improve metabolite yield.

Read more about the model here

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BMC Systems Biology

Get credit for your data

Featured blog: Systems biology study identifies acquired cancer resistance beyond mutations

Call for papers: Systems Medicine

Featured article: Image analysis driven single-cell analytics for systems microbiology

Articles

Statistical relationship between metabolic decomposition and chemical uptake predicts bioconcentration factor data for diverse chemical exposures

A systematic survey of centrality measures for protein-protein interaction networks

Evaluating model reduction under parameter uncertainty

Extracting proteins involved in disease progression using temporally connected networks

High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology

Tracing regulatory routes in metabolism using generalised supply-demand analysis

Biological interaction networks are conserved at the module level

Systematic Comparison of C3 and C4 Plants Based on Metabolic Network Analysis

A comprehensive map of the influenza A virus replication cycle

Bioinformatic analysis of proteomics data

BMC Series blog

Not too much and not too little: the right amount of social network site use may reduce loneliness among mothers of young children

Longer hours on social media may increase teens’ risk of cyberbullying

Can social attachment contribute to problematic Facebook use?

Aims and scope

Editor

Section Editors

Nitin Baliga, Section Editor

Model of the month

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BMC Systems Biology

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