Title |
Genome-scale metabolic reconstructions of Bifidobacterium adolescentis L2-32 and Faecalibacterium prausnitzii A2-165 and their interaction
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Published in |
BMC Systems Biology, April 2014
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DOI | 10.1186/1752-0509-8-41 |
Pubmed ID | |
Authors |
Ibrahim E El-Semman, Fredrik H Karlsson, Saeed Shoaie, Intawat Nookaew, Taysir H Soliman, Jens Nielsen |
Abstract |
The gut microbiota plays an important role in human health and disease by acting as a metabolic organ. Metagenomic sequencing has shown how dysbiosis in the gut microbiota is associated with human metabolic diseases such as obesity and diabetes. Modeling may assist to gain insight into the metabolic implication of an altered microbiota. Fast and accurate reconstruction of metabolic models for members of the gut microbiota, as well as methods to simulate a community of microorganisms, are therefore needed. The Integrated Microbial Genomes (IMG) database contains functional annotation for nearly 4,650 bacterial genomes. This tremendous new genomic information adds new opportunities for systems biology to reconstruct accurate genome scale metabolic models (GEMs). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Italy | 1 | <1% |
Latvia | 1 | <1% |
United Kingdom | 1 | <1% |
Switzerland | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Singapore | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 246 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 61 | 24% |
Student > Ph. D. Student | 47 | 18% |
Student > Master | 37 | 14% |
Student > Doctoral Student | 13 | 5% |
Student > Bachelor | 13 | 5% |
Other | 37 | 14% |
Unknown | 50 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 77 | 30% |
Biochemistry, Genetics and Molecular Biology | 33 | 13% |
Immunology and Microbiology | 21 | 8% |
Medicine and Dentistry | 15 | 6% |
Engineering | 14 | 5% |
Other | 35 | 14% |
Unknown | 63 | 24% |