Title |
Automated classification of tailed bacteriophages according to their neck organization
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Published in |
BMC Genomics, November 2014
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DOI | 10.1186/1471-2164-15-1027 |
Pubmed ID | |
Authors |
Anne Lopes, Paulo Tavares, Marie-Agnès Petit, Raphaël Guérois, Sophie Zinn-Justin |
Abstract |
The genetic diversity observed among bacteriophages remains a major obstacle for the identification of homologs and the comparison of their functional modules. In the structural module, although several classes of homologous proteins contributing to the head and tail structure can be detected, proteins of the head-to-tail connection (or neck) are generally more divergent. Yet, molecular analyses of a few tailed phages belonging to different morphological classes suggested that only a limited number of structural solutions are used in order to produce a functional virion. To challenge this hypothesis and analyze proteins diversity at the virion neck, we developed a specific computational strategy to cope with sequence divergence in phage proteins. We searched for homologs of a set of proteins encoded in the structural module using a phage learning database. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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Brazil | 3 | 2% |
Nepal | 1 | <1% |
Unknown | 186 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 47 | 25% |
Student > Ph. D. Student | 31 | 16% |
Student > Master | 24 | 13% |
Student > Bachelor | 16 | 8% |
Student > Doctoral Student | 12 | 6% |
Other | 16 | 8% |
Unknown | 44 | 23% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 47 | 25% |
Immunology and Microbiology | 22 | 12% |
Engineering | 4 | 2% |
Chemistry | 4 | 2% |
Other | 13 | 7% |
Unknown | 52 | 27% |