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Mendeley readers
Title |
SABERTOOTH: protein structural alignment based on a vectorial structure representation
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Published in |
BMC Bioinformatics, October 2007
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DOI | 10.1186/1471-2105-8-425 |
Pubmed ID | |
Authors |
Florian Teichert, Ugo Bastolla, Markus Porto |
Abstract |
The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of protein structures. Therefore, instead of manipulating coordinates directly, matrices of inter-atomic distances, sets of vectors between protein backbone atoms, and other reduced representations are used. These decrease the effort of comparing large sets of coordinates, but protein structural alignment still remains computationally expensive. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 4% |
Canada | 1 | 4% |
Taiwan | 1 | 4% |
Argentina | 1 | 4% |
Spain | 1 | 4% |
Unknown | 19 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 46% |
Student > Ph. D. Student | 6 | 25% |
Student > Bachelor | 3 | 13% |
Professor | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 2 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 42% |
Computer Science | 6 | 25% |
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Mathematics | 1 | 4% |
Immunology and Microbiology | 1 | 4% |
Other | 1 | 4% |
Unknown | 1 | 4% |