Evidence map›Paper›PMID 8933054›Full record

ArticleEnvironmental health perspectives1996

Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.

I Moriguchi, H Hirano, S Hirono

Abstract read
In one paragraph

Article in Environmental health perspectives, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The NIEHS Predictive-Toxicology Evaluation Project.Environmental health perspectives · 1996
    Article
  6. In silico prediction of drug toxicity.Journal of computer-aided molecular design
    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

3 authors.

I MoriguchiSchool of Pharmaceutical Sciences, Kitasato University, Tokyo, Japan.
H Hirano
S Hirono

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fuzzy adaptive least-squares (FALS), a pattern recognition method recently developed in our laboratory for correlating structure with activity rating, was used to generate quantitative structure-activity relationship (QSAR) models on the carcinogenicity of organic compounds of several chemical classes. Using the predictive models obtained from the chemical class-based FALS QSAR approach, the rodent carcinogenicity or noncarcinogenicity of a group of organic chemicals currently being tested by the U.S. National Toxicology Program was estimated from their chemical structures.

Indexed as

Carcinogenicity TestsAnimalsCarcinogensLeast-Squares AnalysisMiceRatsStructure-Activity RelationshipCarcinogens

Identifiers

PMID8933054
PMCPMC1469684

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.