↓ Skip to main content

Plate-based diversity subset screening generation 2: an improved paradigm for high-throughput screening of large compound files

Overview of attention for article published in Molecular Diversity, September 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Plate-based diversity subset screening generation 2: an improved paradigm for high-throughput screening of large compound files
Published in
Molecular Diversity, September 2016
DOI 10.1007/s11030-016-9692-9
Pubmed ID
Authors

Andrew S. Bell, Joseph Bradley, Jeremy R. Everett, Jens Loesel, David McLoughlin, James Mills, Marie-Claire Peakman, Robert E. Sharp, Christine Williams, Hongyao Zhu

Abstract

High-throughput screening (HTS) is an effective method for lead and probe discovery that is widely used in industry and academia to identify novel chemical matter and to initiate the drug discovery process. However, HTS can be time consuming and costly and the use of subsets as an efficient alternative to screening entire compound collections has been investigated. Subsets may be selected on the basis of chemical diversity, molecular properties, biological activity diversity or biological target focus. Previously, we described a novel form of subset screening: plate-based diversity subset (PBDS) screening, in which the screening subset is constructed by plate selection (rather than individual compound cherry-picking), using algorithms that select for compound quality and chemical diversity on a plate basis. In this paper, we describe a second-generation approach to the construction of an updated subset: PBDS2, using both plate and individual compound selection, that has an improved coverage of the chemical space of the screening file, whilst only selecting the same number of plates for screening. We describe the validation of PBDS2 and its successful use in hit and lead discovery. PBDS2 screening became the default mode of singleton (one compound per well) HTS for lead discovery in Pfizer.

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 11%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Other 2 11%
Unspecified 2 11%
Student > Bachelor 2 11%
Professor 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Chemistry 5 28%
Engineering 3 17%
Unspecified 2 11%
Medicine and Dentistry 2 11%
Computer Science 1 6%
Other 3 17%
Unknown 2 11%
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 16 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from Molecular Diversity
#326
of 466 outputs
Outputs of similar age
#253,907
of 332,557 outputs
Outputs of similar age from Molecular Diversity
#4
of 5 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 466 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% 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 332,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.