Evidence map›Paper›PMID 24392850›Full record

ArticleEnvironmental science & technology2014

In silico analysis of the conservation of human toxicity and endocrine disruption targets in aquatic species.

Fiona M McRobb, Virginia Sahagún, Irina Kufareva, Ruben Abagyan

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Environmental science & technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 55 citations in OpenAlex.

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  19. Adverse outcome pathway development II: best practices.Toxicological sciences : an official journal of the Society of Toxicology · 2014
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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 1 institution in 1 country.

Fiona M McRobbSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego , 9500 Gilman Drive, La Jolla, California 92093, United States.
Virginia Sahagún
Irina Kufareva
Ruben Abagyan
University of California, San Diego · US

Funding

Project 3U54GM094618 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STEVENS, RAYMOND C · 2010 to 2014
$17.1M
Structure, Dynamics and Activation Mechanisms of Chemokine ReceptorsU01GM094612 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANCE, MARK R · 2010 to 2014
$4.5M
Macromolecular DockingR01GM071872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2004 to 2017
$4.2M
NIGMS NIH HHS R01 GM071872NIGMS NIH HHS U01 GM094612NIGMS NIH HHS U54 GM094618
6 · The paper itself

Abstract

Pharmaceuticals and industrial chemicals, both in the environment and in research settings, commonly interact with aquatic vertebrates. Due to their short life-cycles and the traits that can be generalized to other organisms, fish and amphibians are attractive models for the evaluation of toxicity caused by endocrine disrupting chemicals (EDCs) and adverse drug reactions. EDCs, such as pharmaceuticals or plasticizers, alter the normal function of the endocrine system and pose a significant hazard to human health and the environment. The selection of suitable animal models for toxicity testing is often reliant on high sequence identity between the human proteins and their animal orthologs. Herein, we compare in silico the ligand-binding sites of 28 human "side-effect" targets to their corresponding orthologs in Danio rerio, Pimephales promelas, Takifugu rubripes, Xenopus laevis, and Xenopus tropicalis, as well as subpockets involved in protein interactions with specific chemicals. We found that the ligand-binding pockets had much higher conservation than the full proteins, while the peroxisome proliferator-activated receptor γ and corticotropin-releasing factor receptor 1 were notable exceptions. Furthermore, we demonstrated that the conservation of subpockets may vary dramatically. Finally, we identified the aquatic model(s) with the highest binding site similarity, compared to the corresponding human toxicity target.

Indexed as

Models, AnimalToxicity TestsAmino Acid SequenceAnimalsBinding SitesConserved SequenceCRF Receptor, Type 1CyprinidaeCytochrome P-450 Enzyme SystemEndocrine DisruptorsFishesHumansModels, TheoreticalPPAR gammaReceptors, Corticotropin-Releasing HormoneReceptors, Cytoplasmic and NuclearCRF Receptor, Type 1Cytochrome P-450 Enzyme SystemEndocrine DisruptorsPPAR gammaReceptors, Corticotropin-Releasing HormoneReceptors, Cytoplasmic and NuclearReceptors, G-Protein-CoupledXenobiotics

Identifiers

PMID24392850
PMCPMC3951377
OpenAlexW1989660072

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.