Evidence map›Paper›PMID 30060110›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2018

In Silico Site-Directed Mutagenesis Informs Species-Specific Predictions of Chemical Susceptibility Derived From the Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) Tool.

Jon A Doering, Sehan Lee, Kurt Kristiansen, Linn Evenseth, Mace G Barron, Ingebrigt Sylte, Carlie A LaLone

Open access · greenAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.4field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Weight of evidence for cross-species conservation of androgen receptor-based biological activity.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Pooled it
  2. Potential ofArhiv za higijenu rada i toksikologiju · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Repertoire-scale measures of antigen binding.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Article
  14. Evaluation of a multiplexed, multispecies nuclear receptor assay for chemical hazard assessment.Toxicology in vitro : an international journal published in association with BIBRA · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Homology models of mouse and rat estrogen receptor-Computational toxicology (Amsterdam, Netherlands) · 2019
    Article
  19. Article
  20. Article
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

7 authors at 4 institutions in 3 countries.

Jon A DoeringMid-Continent Ecology Division.
Sehan LeeGulf Ecology Division, U.S. Environmental Protection Agency, Gulf Breeze, Florida 32561.
Kurt KristiansenDepartment of Medical Biology, Faculty of Health Sciences, University of Tromso-The Arctic University of Norway, NO-9037, Tromso, Norway.
Linn EvensethDepartment of Medical Biology, Faculty of Health Sciences, University of Tromso-The Arctic University of Norway, NO-9037, Tromso, Norway.
Mace G BarronGulf Ecology Division, U.S. Environmental Protection Agency, Gulf Breeze, Florida 32561.
Ingebrigt SylteDepartment of Medical Biology, Faculty of Health Sciences, University of Tromso-The Arctic University of Norway, NO-9037, Tromso, Norway.
Carlie A LaLoneMid-Continent Ecology Division.
UiT The Arctic University of Norway · NOEnvironmental Protection Agency · USGulf Marine Institute of Technology · USMid-Continent University · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Chemical hazard assessment requires extrapolation of information from model organisms to all species of concern. The Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool was developed as a rapid, cost-effective method to aid cross-species extrapolation of susceptibility to chemicals acting on specific protein targets through evaluation of protein structural similarities and differences. The greatest resolution for extrapolation of chemical susceptibility across species involves comparisons of individual amino acid residues at key positions involved in protein-chemical interactions. However, a lack of understanding of whether specific amino acid substitutions among species at key positions in proteins affect interaction with chemicals made manual interpretation of alignments time consuming and potentially inconsistent. Therefore, this study used in silico site-directed mutagenesis coupled with docking simulations of computational models for acetylcholinesterase (AChE) and ecdysone receptor (EcR) to investigate how specific amino acid substitutions impact protein-chemical interaction. This study found that computationally derived substitutions in identities of key amino acids caused no change in protein-chemical interaction if residues share the same side chain functional properties and have comparable molecular dimensions, while differences in these characteristics can change protein-chemical interaction. These findings were considered in the development of capabilities for automatically generated species-specific predictions of chemical susceptibility in SeqAPASS. These predictions for AChE and EcR were shown to agree with SeqAPASS predictions comparing the primary sequence and functional domain sequence of proteins for more than 90% of the investigated species, but also identified dramatic species-specific differences in chemical susceptibility that align with results from standard toxicity tests. These results provide a compelling line of evidence for use of SeqAPASS in deriving screening level, species-specific, susceptibility predictions across broad taxonomic groups for application to human and ecological hazard assessment.

Indexed as

Mutagenesis, Site-DirectedAcetylcholinesteraseAmino AcidsAmino Acid SequenceAnimalsComputational BiologyComputer SimulationHazardous SubstancesHumansMolecular Docking SimulationReceptors, SteroidSequence AlignmentSpecies SpecificityToxicity TestsAcetylcholinesteraseAmino Acidsecdysone receptorHazardous SubstancesReceptors, Steroid

Identifiers

PMID30060110
PMCPMC6390969
OpenAlexW2884108759

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.