BMC Bioinformatics

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Low degree metabolites explain essential reactions and enhance modularity in biological networks

Areejit Samal, Shalini Singh, Varun Giri, Sandeep Krishna, Nandula Raghuram and Sanjay Jain*

BMC Bioinformatics 2006, 7:118 doi:10.1186/1471-2105-7-118

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BioMed Central: 6 citations

Research article   Open Access Highly Accessed

Environmental versatility promotes modularity in genome-scale metabolic networks

Areejit Samal, Andreas Wagner, Olivier C Martin BMC Systems Biology 2011, 5:135 (24 August 2011)

Methodology article   Open Access Highly Accessed

Identifying essential genes in bacterial metabolic networks with machine learning methods

Kitiporn Plaimas, Roland Eils, Rainer König BMC Systems Biology 2010, 4:56 (3 May 2010)

Research   Open Access

Prediction of protein structural classes for low-homology sequences based on predicted secondary structure

Jian-Yi Yang, Zhen-Ling Peng, Xin Chen BMC Bioinformatics 2010, 11(Suppl 1):S9 (18 January 2010)

Methodology article   Open Access

Machine learning based analyses on metabolic networks supports high-throughput knockout screens

Kitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, Fabian Svara, Victor Sourjik, Roland Eils, Rainer König BMC Systems Biology 2008, 2:67 (24 July 2008)

Research article   Open Access Highly Accessed

The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response

Areejit Samal, Sanjay Jain BMC Systems Biology 2008, 2:21 (29 February 2008)

Large scale dynamical analysis of E. coli metabolism using Boolean rules demonstrates that the architecture of the genetic network is hierarchical, modular and largely acyclic, which makes these bacteria robust yet flexible in their response to environmental change.

Research article   Open Access Highly Accessed

Correlation between structure and temperature in prokaryotic metabolic networks

Kazuhiro Takemoto, Jose C Nacher, Tatsuya Akutsu BMC Bioinformatics 2007, 8:303 (21 August 2007)