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Computational Approaches to Toll-Like Receptor 4 Modulation

Overview of attention for article published in Molecules, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
6 tweeters
f1000
1 research highlight platform

Citations

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16 Dimensions

Readers on

mendeley
13 Mendeley
Title
Computational Approaches to Toll-Like Receptor 4 Modulation
Published in
Molecules, January 2016
DOI 10.3390/molecules21080994
Pubmed ID
Authors

Jean-Marc Billod, Alessandra Lacetera, Joan Guzmán-Caldentey, Sonsoles Martín-Santamaría

Abstract

Toll-like receptor 4 (TLR4), along with its accessory protein myeloid differentiation factor 2 (MD-2), builds a heterodimeric complex that specifically recognizes lipopolysaccharides (LPS), which are present on the cell wall of Gram-negative bacteria, activating the innate immune response. Some TLR4 modulators are undergoing preclinical and clinical evaluation for the treatment of sepsis, inflammatory diseases, cancer and rheumatoid arthritis. Since the relatively recent elucidation of the X-ray crystallographic structure of the extracellular domain of TLR4, research around this fascinating receptor has risen to a new level, and thus, new perspectives have been opened. In particular, diverse computational techniques have been applied to decipher some of the basis at the atomic level regarding the mechanism of functioning and the ligand recognition processes involving the TLR4/MD-2 system at the atomic level. This review summarizes the reported molecular modeling and computational studies that have recently provided insights into the mechanism regulating the activation/inactivation of the TLR4/MD-2 system receptor and the key interactions modulating the molecular recognition process by agonist and antagonist ligands. These studies have contributed to the design and the discovery of novel small molecules with promising activity as TLR4 modulators.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Student > Master 2 15%
Student > Ph. D. Student 2 15%
Professor 1 8%
Student > Postgraduate 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Unspecified 2 15%
Agricultural and Biological Sciences 2 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Computer Science 1 8%
Other 1 8%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 April 2018.
All research outputs
#2,718,792
of 11,483,620 outputs
Outputs from Molecules
#523
of 5,662 outputs
Outputs of similar age
#71,991
of 263,528 outputs
Outputs of similar age from Molecules
#25
of 229 outputs
Altmetric has tracked 11,483,620 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,662 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 90% of its peers.
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 263,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.