On the public citation graph

Classification of Potential Endocrine Disrupters on the Basis of Molecular Structure Using a Nonlinear Modeling Method

https://doi.org/10.1021/ci030421a
0 signed · 36 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/s0169-7439(97)00030-0openalex-snapshot
Kohonen and counterpropagation artificial neural networks in analytical chemistry
inferredcites →https://doi.org/10.1021/ci00025a013openalex-snapshot
Investigation of Infrared Spectra-Structure Correlation Using Kohonen and Counterpropagation Neural Network
inferredcites →https://doi.org/10.1021/cr0102009openalex-snapshot
Chem-Bioinformatics: Comparative QSAR at the Interface between Chemistry and Biology
inferredcites →https://doi.org/10.1023/a:1022567113596openalex-snapshot
Effects of Endocrine Modulators on Sex Differentiation in Birds
inferredcites →https://doi.org/10.1289/ehp.93101378openalex-snapshot
Developmental effects of endocrine-disrupting chemicals in wildlife and humans.
inferredcites →https://doi.org/10.1897/01-234openalex-snapshot
Overview of data and conceptual approaches for derivation of quantitative structure-activity relationships for ecotoxicological effects of organic chemicals
inferredcites →https://doi.org/10.2741/1010openalex-snapshot
Xenoestrogen exposure and mechanisms of endocrine disruption
inferredcites →https://doi.org/10.3109/9780203361764openalex-snapshot
Mechanistic Toxicology

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/adic.200790036openalex-snapshot
Provenance Determination of Vinica Terra Cotta Icons Using Self‐Organising Maps
inferred← citeshttps://doi.org/10.1002/chin.200424202openalex-snapshot
Classification of Potential Endocrine Disrupters on the Basis of Molecular Structure Using a Nonlinear Modeling Method.
inferred← citeshttps://doi.org/10.1002/minf.201100082openalex-snapshot
Self‐Organizing Maps for In Silico Screening and Data Visualization
inferred← citeshttps://doi.org/10.1007/7081_026openalex-snapshot
QSAR Approach in Study of Mutagenicity of Aromatic and Heteroaromatic Amines
inferred← citeshttps://doi.org/10.1007/978-1-4020-9783-6_12openalex-snapshot
Chemometric Methods and Theoretical Molecular Descriptors in Predictive QSAR Modeling of the Environmental Behavior of Organic Pollutants
inferred← citeshttps://doi.org/10.1007/978-3-031-67841-7_2openalex-snapshot
Hierarchy of Descriptors: From Topology to Bio-descriptors
inferred← citeshttps://doi.org/10.1007/978-3-319-27282-5_58openalex-snapshot
Prioritization of Chemicals Based on Chemoinformatic Analysis
inferred← citeshttps://doi.org/10.1007/978-94-007-6169-8_58-1openalex-snapshot
Prioritization of Chemicals Based on Chemoinformatic Analysis
inferred← citeshttps://doi.org/10.1007/s10822-008-9192-9openalex-snapshot
Utilizing high throughput screening data for predictive toxicology models: protocols and application to MLSCN assays
inferred← citeshttps://doi.org/10.1007/s11030-008-9069-9openalex-snapshot
Structural features of diverse ligands influencing binding affinities to Estrogen α and Estrogen β receptors. Part I: molecular descriptors calculated from minimal energy conformation of isolated ligands
inferred← citeshttps://doi.org/10.1007/s11030-009-9117-0openalex-snapshot
Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers
inferred← citeshttps://doi.org/10.1007/s11030-009-9190-4openalex-snapshot
Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.06.007openalex-snapshot
Classification of estrogen receptor selective compounds with benzopyranskeleton using counterpropagation artificial neural networks optimised by genetic algorithms
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.08.016openalex-snapshot
A non-standard view on artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2005.04.115openalex-snapshot
Structure-based classification of active and inactive estrogenic compounds by decision tree, LVQ and kNN methods
inferred← citeshttps://doi.org/10.1016/j.ejmech.2010.11.029openalex-snapshot
Ligand - based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks
inferred← citeshttps://doi.org/10.1016/j.meatsci.2013.06.013openalex-snapshot
Classification of dry-cured hams according to the maturation time using near infrared spectra and artificial neural networks
inferred← citeshttps://doi.org/10.1021/ci0501645openalex-snapshot
Variable Selection and Interpretation in Structure−Affinity Correlation Modeling of Estrogen Receptor Binders
inferred← citeshttps://doi.org/10.1021/tx0497393openalex-snapshot
Effect of Natural and Synthetic Estrogens on A549 Lung Cancer Cells: Correlation of Chemical Structures with Cytotoxic Effects
inferred← citeshttps://doi.org/10.1021/tx0600550openalex-snapshot
Classification of a Diverse Set of Tetrahymena pyriformis Toxicity Chemical Compounds from Molecular Descriptors by Statistical Learning Methods
inferred← citeshttps://doi.org/10.1080/10629360903438586openalex-snapshot
Assessing the reproductive toxicity of some (con)azole compounds using a structure–activity relationship approach
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2007.00575.xopenalex-snapshot
Anticancer Activity of Selected Phenolic Compounds: QSAR Studies Using Ridge Regression and Neural Networks
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2008.00705.xopenalex-snapshot
Classification Models for hERG Inhibitors by Counter‐Propagation Neural Networks
inferred← citeshttps://doi.org/10.1517/17460440903490395openalex-snapshot
Discovery of estrogen receptor modulators: a review of virtual screening and SAR efforts
inferred← citeshttps://doi.org/10.2174/0115680266251327231017053718openalex-snapshot
Quantitative Structure Activity/Toxicity Relationship through Neural Networks for Drug Discovery or Regulatory Use
inferred← citeshttps://doi.org/10.2174/0118715303279298231228074222openalex-snapshot
Deleterious Biological Effects of Endocrine Disruptors: An Insight into Human Health Risks
inferred← citeshttps://doi.org/10.3390/molecules15031987openalex-snapshot
QSAR Models for Reproductive Toxicity and Endocrine Disruption Activity
inferred← citeshttps://doi.org/10.5740/jaoacint.sge_goodarziopenalex-snapshot
Feature Selection Methods in QSAR Studies
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.