↓ Skip to main content

A combined treatment of hydration and dynamical effects for the modeling of host–guest binding thermodynamics: the SAMPL5 blinded challenge

Overview of attention for article published in Perspectives in Drug Discovery and Design, September 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
22 Mendeley
citeulike
1 CiteULike
Title
A combined treatment of hydration and dynamical effects for the modeling of host–guest binding thermodynamics: the SAMPL5 blinded challenge
Published in
Perspectives in Drug Discovery and Design, September 2016
DOI 10.1007/s10822-016-9956-6
Pubmed ID
Authors

Rajat Kumar Pal, Kamran Haider, Divya Kaur, William Flynn, Junchao Xia, Ronald M Levy, Tetiana Taran, Lauren Wickstrom, Tom Kurtzman, Emilio Gallicchio

Abstract

As part of the SAMPL5 blinded experiment, we computed the absolute binding free energies of 22 host-guest complexes employing a novel approach based on the BEDAM single-decoupling alchemical free energy protocol with parallel replica exchange conformational sampling and the AGBNP2 implicit solvation model specifically customized to treat the effect of water displacement as modeled by the Hydration Site Analysis method with explicit solvation. Initial predictions were affected by the lack of treatment of ionic charge screening, which is very significant for these highly charged hosts, and resulted in poor relative ranking of negatively versus positively charged guests. Binding free energies obtained with Debye-Hückel treatment of salt effects were in good agreement with experimental measurements. Water displacement effects contributed favorably and very significantly to the observed binding affinities; without it, the modeling predictions would have grossly underestimated binding. The work validates the implicit/explicit solvation approach employed here and it shows that comprehensive physical models can be effective at predicting binding affinities of molecular complexes requiring accurate treatment of conformational dynamics and hydration.

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 %
Czechia 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 32%
Student > Ph. D. Student 7 32%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Librarian 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Chemistry 7 32%
Chemical Engineering 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Other 5 23%
Unknown 3 14%
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 12 January 2017.
All research outputs
#8,571,053
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#420
of 949 outputs
Outputs of similar age
#121,447
of 330,884 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#19
of 27 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 30th percentile – i.e., 30% 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 330,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.