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Structuprint: a scalable and extensible tool for two-dimensional representation of protein surfaces

Overview of attention for article published in BMC Molecular and Cell Biology, February 2016
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Title
Structuprint: a scalable and extensible tool for two-dimensional representation of protein surfaces
Published in
BMC Molecular and Cell Biology, February 2016
DOI 10.1186/s12900-016-0055-7
Pubmed ID
Authors

Dimitrios Georgios Kontopoulos, Dimitrios Vlachakis, Georgia Tsiliki, Sofia Kossida

Abstract

The term 'molecular cartography' encompasses a family of computational methods for two-dimensional transformation of protein structures and analysis of their physicochemical properties. The underlying algorithms comprise multiple manual steps, whereas the few existing implementations typically restrict the user to a very limited set of molecular descriptors. We present Structuprint, a free standalone software that fully automates the rendering of protein surface maps, given - at the very least - a directory with a PDB file and an amino acid property. The tool comes with a default database of 328 descriptors, which can be extended or substituted by user-provided ones. The core algorithm comprises the generation of a mould of the protein surface, which is subsequently converted to a sphere and mapped to two dimensions, using the Miller cylindrical projection. Structuprint is partly optimized for multicore computers, making the rendering of animations of entire molecular dynamics simulations feasible. Structuprint is an efficient application, implementing a molecular cartography algorithm for protein surfaces. According to the results of a benchmark, its memory requirements and execution time are reasonable, allowing it to run even on low-end personal computers. We believe that it will be of use - primarily but not exclusively - to structural biologists and computational biochemists.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Italy 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Other 4 11%
Professor 2 6%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 34%
Biochemistry, Genetics and Molecular Biology 7 20%
Computer Science 5 14%
Medicine and Dentistry 3 9%
Mathematics 1 3%
Other 1 3%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2018.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Molecular and Cell Biology
#740
of 1,233 outputs
Outputs of similar age
#179,573
of 313,160 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#10
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.