Evidence map›Paper›PMID 23749117›Full record

ArticleGenome biology and evolution2013

Evolutionary survey of druggable protein targets with respect to their subcellular localizations.

Xiaotong Wang, Rui Wang, Yanfeng Zhang, Hao Zhang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. The PROTACtable genome.Nature reviews. Drug discovery · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Xiaotong WangSchool of Agriculture, Ludong University, Yantai, China.
Rui Wang
Yanfeng Zhang
Hao Zhang
China Agricultural University · CNChinese Academy of Sciences · CNKunming Medical University · CNLudong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The druggable subset of the human genome, termed the "druggable genome," provides the pharmaceutical industry with a unique opportunity for the advancement of new therapeutic interventions for a multitude of diseases and disorders. To date, there is no systematic assessment of the evolutionary history and nature of the defined druggable proteins derived from the contemporary druggable genome (i.e., proteins that bind or are predicted to bind with high affinity to a biologic). An understanding of drug-protein target interactions in specific cellular compartments is crucial for the optimal therapeutic delivery of pharmaceutical agents, as well as for preclinical drug trials in model animals. This study applied the concept of pharmacophylogenomics, the study of genes, evolution, and drug targets, to conduct an evolutionary survey of drug targets with respect to their subcellular localizations. Using multiple models and modes of druggable genome comparison, the results concordantly indicated that orthologous drug targets with a nuclear localization in the human, macaque, mouse, and rat showed a higher trend for evolutionary conservation compared with drug targets in the cell membrane and the extracellular compartment. As such, this study provides important information regarding druggable protein targets and the druggable genome at the pharmacophylogenomics level.

Indexed as

Evolution, MolecularGenomeGenomicsMolecular Targeted TherapyAnimalsGene OntologyGenome, HumanHumansMacacaMiceModels, GeneticOrganellesPharmacogeneticsPhylogenyProteinsProtein TransportProteinsdruggable genomedrug targetsKa/Ks ratiopharmacophylogenomicssubcellular localization

Identifiers

PMID23749117
PMCPMC3730344
OpenAlexW2158546283

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.