↓ Skip to main content

A consistent description of HYdrogen bond and DEhydration energies in protein–ligand complexes: methods behind the HYDE scoring function

Overview of attention for article published in Perspectives in Drug Discovery and Design, December 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
232 Dimensions

Readers on

mendeley
194 Mendeley
Title
A consistent description of HYdrogen bond and DEhydration energies in protein–ligand complexes: methods behind the HYDE scoring function
Published in
Perspectives in Drug Discovery and Design, December 2012
DOI 10.1007/s10822-012-9626-2
Pubmed ID
Authors

Nadine Schneider, Gudrun Lange, Sally Hindle, Robert Klein, Matthias Rarey

Abstract

The estimation of free energy of binding is a key problem in structure-based design. We developed the scoring function HYDE based on a consistent description of HYdrogen bond and DEhydration energies in protein-ligand complexes. HYDE is applicable to all types of protein targets since it is not calibrated on experimental binding affinity data or protein-ligand complexes. The comprehensible atom-based score of HYDE is visualized by applying a very intuitive coloring scheme, thereby facilitating the analysis of protein-ligand complexes in the lead optimization process. In this paper, we have revised several aspects of the former version of HYDE which was described in detail previously. The revised HYDE version was already validated in large-scale redocking and screening experiments which were performed in the course of the Docking and Scoring Symposium at 241st ACS National Meeting. In this study, we additionally evaluate the ability of the revised HYDE version to predict binding affinities. On the PDBbind 2007 coreset, HYDE achieves a correlation coefficient of 0.62 between the experimental binding constants and the predicted binding energy, performing second best on this dataset compared to 17 other well-established scoring functions. Further, we show that the performance of HYDE in large-scale redocking and virtual screening experiments on the Astex diverse set and the DUD dataset respectively, is comparable to the best methods in this field.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United States 1 <1%
Portugal 1 <1%
Argentina 1 <1%
Unknown 189 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 20%
Student > Ph. D. Student 37 19%
Student > Master 30 15%
Student > Doctoral Student 15 8%
Student > Bachelor 12 6%
Other 25 13%
Unknown 37 19%
Readers by discipline Count As %
Chemistry 51 26%
Biochemistry, Genetics and Molecular Biology 27 14%
Pharmacology, Toxicology and Pharmaceutical Science 21 11%
Agricultural and Biological Sciences 19 10%
Computer Science 19 10%
Other 11 6%
Unknown 46 24%
Attention Score in Context

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 07 November 2022.
All research outputs
#7,236,093
of 25,457,297 outputs
Outputs from Perspectives in Drug Discovery and Design
#393
of 949 outputs
Outputs of similar age
#71,048
of 289,175 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 4 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
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 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 289,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.