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Interactions between a Heparin Trisaccharide Library and FGF-1 Analyzed by NMR Methods

Overview of attention for article published in International Journal of Molecular Sciences, June 2017
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Title
Interactions between a Heparin Trisaccharide Library and FGF-1 Analyzed by NMR Methods
Published in
International Journal of Molecular Sciences, June 2017
DOI 10.3390/ijms18061293
Pubmed ID
Authors

María José García-Jiménez, Sergio Gil-Caballero, Ángeles Canales, Jesús Jiménez-Barbero, José L. de Paz, Pedro M. Nieto

Abstract

FGF-1 is a potent mitogen that, by interacting simultaneously with Heparan Sulfate Glycosaminoglycan HSGAG and the extracellular domains of its membrane receptor (FGFR), generates an intracellular signal that finally leads to cell division. The overall structure of the ternary complex Heparin:FGF-1:FGFR has been finally elucidated after some controversy and the interactions within the ternary complex have been deeply described. However, since the structure of the ternary complex was described, not much attention has been given to the molecular basis of the interaction between FGF-1 and the HSGAG. It is known that within the complex, the carbohydrate maintains the same helical structure of free heparin that leads to sulfate groups directed towards opposite directions along the molecular axis. The precise role of single individual interactions remains unclear, as sliding and/or rotating of the saccharide along the binding pocket are possibilities difficult to discard. The HSGAG binding pocket can be subdivided into two regions, the main one can accommodate a trisaccharide, while the other binds a disaccharide. We have studied and analyzed the interaction between FGF-1 and a library of trisaccharides by STD-NMR and selective longitudinal relaxation rates. The library of trisaccharides corresponds to the heparin backbone and it has been designed to interact with the main subsite of the protein.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Researcher 3 14%
Student > Bachelor 2 9%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 4 18%
Unknown 6 27%
Readers by discipline Count As %
Chemistry 7 32%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 2 9%
Unspecified 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 June 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from International Journal of Molecular Sciences
#31,906
of 44,348 outputs
Outputs of similar age
#254,485
of 330,422 outputs
Outputs of similar age from International Journal of Molecular Sciences
#380
of 527 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44,348 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.