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Alpha-carboxy nucleoside phosphonates as universal nucleoside triphosphate mimics

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2015
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Title
Alpha-carboxy nucleoside phosphonates as universal nucleoside triphosphate mimics
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2015
DOI 10.1073/pnas.1420233112
Pubmed ID
Authors

Jan Balzarini, Kalyan Das, Jean A. Bernatchez, Sergio E. Martinez, Marianne Ngure, Sarah Keane, Alan Ford, Nuala Maguire, Niki Mullins, Jubi John, Youngju Kim, Wim Dehaen, Johan Vande Voorde, Sandra Liekens, Lieve Naesens, Matthias Götte, Anita R. Maguire, Eddy Arnold

Abstract

Polymerases have a structurally highly conserved negatively charged amino acid motif that is strictly required for Mg(2+) cation-dependent catalytic incorporation of (d)NTP nucleotides into nucleic acids. Based on these characteristics, a nucleoside monophosphonate scaffold, α-carboxy nucleoside phosphonate (α-CNP), was designed that is recognized by a variety of polymerases. Kinetic, biochemical, and crystallographic studies with HIV-1 reverse transcriptase revealed that α-CNPs mimic the dNTP binding through a carboxylate oxygen, two phosphonate oxygens, and base-pairing with the template. In particular, the carboxyl oxygen of the α-CNP acts as the potential equivalent of the α-phosphate oxygen of dNTPs and two oxygens of the phosphonate group of the α-CNP chelate Mg(2+), mimicking the chelation by the β- and γ-phosphate oxygens of dNTPs. α-CNPs (i) do not require metabolic activation (phosphorylation), (ii) bind directly to the substrate-binding site, (iii) chelate one of the two active site Mg(2+) ions, and (iv) reversibly inhibit the polymerase catalytic activity without being incorporated into nucleic acids. In addition, α-CNPs were also found to selectively interact with regulatory (i.e., allosteric) Mg(2+)-dNTP-binding sites of nucleos(t)ide-metabolizing enzymes susceptible to metabolic regulation. α-CNPs represent an entirely novel and broad technological platform for the development of specific substrate active- or regulatory-site inhibitors with therapeutic potential.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Bachelor 3 11%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 5 19%
Unknown 6 22%
Readers by discipline Count As %
Chemistry 15 56%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 7 26%
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 05 June 2015.
All research outputs
#19,337,766
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#95,933
of 101,438 outputs
Outputs of similar age
#179,933
of 261,128 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#865
of 978 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 4th percentile – i.e., 4% 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 261,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 978 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.