Evidence map›Paper›PMID 36847398›Full record

ArticleJournal of visualized experiments : JoVE2023

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation.

Sara M F Vliet, Monique Hazemi, Donovan Blatz, Marissa Jensen, Sally Mayasich, Thomas R Transue, Cody Simmons, Audrey Wilkinson, Carlie A LaLone

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Cross-species applicability of an adverse outcome pathway network for thyroid hormone system disruption.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Review
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

9 authors at 5 institutions in 3 countries.

Sara M F VlietOffice of Research and Development, Center for Computational Toxicology and Exposure, Scientific Computing and Data Curation Division, U.S. Environmental Protection Agency; Vliet.Sara@epa.gov.
Monique HazemiOak Ridge Institute for Science and Education.
Donovan BlatzOak Ridge Institute for Science and Education.
Marissa JensenSwenson College of Science and Engineering, Department of Biology, University of Minnesota Duluth.
Sally MayasichUniversity of Wisconsin-Madison Aquatic Sciences Center.
Thomas R TransueGeneral Dynamics Information Technology, Research Triangle Park.
Cody SimmonsGeneral Dynamics Information Technology, Research Triangle Park.
Audrey WilkinsonGeneral Dynamics Information Technology, Research Triangle Park.
Carlie A LaLoneOffice of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency.
General Dynamics (United Kingdom) · GBOak Ridge Institute for Science and EducationGreat Lakes Institute of Management · INUniversity of Minnesota, Duluth · USUniversity of Wisconsin–Madison · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool is a fast, freely available, online screening application that allows researchers and regulators to extrapolate toxicity information across species. For biological targets in model systems such as human cells, mice, rats, and zebrafish, toxicity data are available for a variety of chemicals. Through the evaluation of protein target conservation, this tool can be used to extrapolate data generated from such model systems to thousands of other species lacking toxicity data, yielding predictions of relative intrinsic chemical susceptibility. The latest releases of the tool (versions 2.0-6.1) have incorporated new features that allow for the rapid synthesis, interpretation, and use of the data for publication plus presentation-quality graphics. Among these features are customizable data visualizations and a comprehensive summary report designed to summarize SeqAPASS data for ease of interpretation. This paper describes the protocol to guide users through submitting jobs, navigating the various levels of protein sequence comparisons, and interpreting and displaying the resulting data. New features of SeqAPASS v2.0-6.0 are highlighted. Furthermore, two use-cases focused on transthyretin and opioid receptor protein conservation using this tool are described. Finally, SeqAPASS' strengths and limitations are discussed to define the domain of applicability for the tool and highlight different applications for cross-species extrapolation.

Indexed as

ProteinsZebrafishAmino Acid SequenceAnimalsHumansMiceRatsSequence AlignmentProteins

Identifiers

PMID36847398
PMCPMC10758989
OpenAlexW4319870043

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.