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Automated computational screening of the thiol reactivity of substituted alkenes

Overview of attention for article published in Perspectives in Drug Discovery and Design, July 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Automated computational screening of the thiol reactivity of substituted alkenes
Published in
Perspectives in Drug Discovery and Design, July 2015
DOI 10.1007/s10822-015-9857-0
Pubmed ID
Authors

Jennifer M. Smith, Christopher N. Rowley

Abstract

Electrophilic olefins can react with the S-H moiety of cysteine side chains. The formation of a covalent adduct through this mechanism can result in the inhibition of an enzyme. The reactivity of an olefin towards cysteine depends on its functional groups. In this study, 325 reactions of thiol-Michael-type additions to olefins were modeled using density functional theory. All combinations of ethenes with hydrogen, methyl ester, amide, and cyano substituents were included. An automated workflow was developed to perform the construction, conformation search, minimization, and calculation of molecular properties for the reactant, carbanion intermediate, and thioether products for a model reaction of the addition of methanethiol to the electrophile. Known cysteine-reactive electrophiles present in the database were predicted to react exergonically with methanethiol through a carbanion with a stability in the 30-40 kcal mol(-1) range. 13 other compounds in our database that are also present in the PubChem database have similar properties. Natural bond orbital parameters were computed and regression analysis was used to determine the relationship between properties of the olefin electronic structure and the product and intermediate stability. The stability of the intermediates is very sensitive to electronic effects on the carbon where the anionic charge is centered. The stability of the products is more sensitive to steric factors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 33%
Researcher 10 24%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Student > Master 2 5%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Chemistry 26 62%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 2 5%
Agricultural and Biological Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 5%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 July 2015.
All research outputs
#14,530,809
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#666
of 949 outputs
Outputs of similar age
#125,312
of 277,478 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#5
of 9 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 29th percentile – i.e., 29% 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 277,478 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 54% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.