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Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery

Overview of attention for article published in Drug Discovery Today, March 2017
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2 X users

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100 Mendeley
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Article details
Title
Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery
Published in
Drug Discovery Today, March 2017
DOI 10.1016/j.drudis.2017.02.004
Pubmed ID
Authors
Abstract

Current advances in systems biology suggest a new change of paradigm reinforcing the holistic nature of the drug discovery process. According to the principles of systems biology, a simple drug perturbing a network of targets can trigger complex reactions. Therefore, it is possible to connect initial events with final outcomes and consequently prioritize those events, leading to a desired effect. Here, we introduce a new concept, 'Systemic Chemogenomics/Quantitative Structure-Activity Relationship (QSAR)'. To elaborate on the concept, relevant information surrounding it is addressed. The concept is challenged by implementing a systemic QSAR approach for phenotypic virtual screening (VS) of candidate ligands acting as neuroprotective agents in Parkinson's disease (PD). The results support the suitability of the approach for the phenotypic prioritization of drug candidates.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 19%
Student > Bachelor 14 14%
Student > Ph. D. Student 14 14%
Student > Master 10 10%
Professor 7 7%
Other 16 16%
Unknown 20 20%
Readers by discipline
Readers by discipline Count As %
Chemistry 23 23%
Pharmacology, Toxicology and Pharmaceutical Science 14 14%
Biochemistry, Genetics and Molecular Biology 11 11%
Agricultural and Biological Sciences 11 11%
Medicine and Dentistry 4 4%
Other 14 14%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 March 2017.
All research outputs
#16,051,091
of 25,382,440 outputs
Outputs from Drug Discovery Today
#2,122
of 2,885 outputs
Outputs of similar age
#188,279
of 324,513 outputs
Outputs of similar age from Drug Discovery Today
#14
of 26 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,885 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 24th percentile – i.e., 24% 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 324,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.