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Conformational analysis of a polyconjugated protein-binding ligand by joint quantum chemistry and polarizable molecular mechanics. Addressing the issues of anisotropy, conjugation, polarization, and…

Overview of attention for article published in Journal of Molecular Modeling, November 2014
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
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Citations

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10 Mendeley
Title
Conformational analysis of a polyconjugated protein-binding ligand by joint quantum chemistry and polarizable molecular mechanics. Addressing the issues of anisotropy, conjugation, polarization, and multipole transferability
Published in
Journal of Molecular Modeling, November 2014
DOI 10.1007/s00894-014-2472-5
Pubmed ID
Authors

Elodie Goldwaser, Benoit de Courcy, Luc Demange, Christiane Garbay, Françoise Raynaud, Reda Hadj-Slimane, Jean-Philip Piquemal, Nohad Gresh

Abstract

We investigate the conformational properties of a potent inhibitor of neuropilin-1, a protein involved in cancer processes and macular degeneration. This inhibitor consists of four aromatic/conjugated fragments: a benzimidazole, a methylbenzene, a carboxythiourea, and a benzene-linker dioxane, and these fragments are all linked together by conjugated bonds. The calculations use the SIBFA polarizable molecular mechanics procedure. Prior to docking simulations, it is essential to ensure that variations in the ligand conformational energy upon rotations around its six main-chain torsional bonds are correctly represented (as compared to high-level ab initio quantum chemistry, QC). This is done in two successive calibration stages and one validation stage. In the latter, the minima identified following independent stepwise variations of each of the six main-chain torsion angles are used as starting points for energy minimization of all the torsion angles simultaneously. Single-point QC calculations of the minimized structures are then done to compare their relative energies ΔE conf to the SIBFA ones. We compare three different methods of deriving the multipoles and polarizabilities of the central, most critical moiety of the inhibitor: carboxythiourea (CTU). The representation that gives the best agreement with QC is the one that includes the effects of the mutual polarization energy E pol between the amide and thioamide moieties. This again highlights the critical role of this contribution. The implications and perspectives of these findings are discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Other 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 10%
Environmental Science 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Physics and Astronomy 1 10%
Other 3 30%
Unknown 2 20%
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 26 February 2015.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from Journal of Molecular Modeling
#177
of 812 outputs
Outputs of similar age
#85,529
of 260,561 outputs
Outputs of similar age from Journal of Molecular Modeling
#3
of 8 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 812 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 58% 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 260,561 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 56% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.