Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Computational Approach to Evaluate the Androgenic Affinity of Iprodione, Procymidone, Vinclozolin and Their Metabolites

11 Aug 2014

Abstract excerpt

Our research is aimed at devising and assessing a computational approach to evaluate the affinity of endocrine active substances (EASs) and their metabolites towards the ligand binding domain (LBD) of the androgen receptor (AR) in three distantly related species: human, rat, and zebrafish. We computed the affinity for all the selected molecules following a computational approach based on molecular modelling and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Effects and risks of endocrine disrupting chemicals
Share to Hormonal and reproductive studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 25111804
DOI: 10.1371/journal.pone.0104822

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Computational Approach to Evaluate the Androgenic Affinity of Iprodione, Procymidone, Vinclozolin and Their MetabolitesPMID 25111804Read ↗

Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen ReceptorSemantic proximity Read ↗

Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptorSemantic proximity Read ↗

A curated knowledgebase enabling a network perspective on endocrine disrupting chemicals and their biological systems-level perturbationsSemantic proximity Read ↗

In Silico Evaluation of the Binding Energies of Androgen Receptor Agonists in Wild-Type and Mutational Models.Semantic proximity Read ↗

Assessment of the inhibitory potential of anabolic steroids towards human AKR1D1 by computational methods and in vitro evaluation.Semantic proximity Read ↗

The Interplay Between Molecular Architecture, Pharmacology, and Suspected Adverse Drug Reactions Associated with Non-Steroidal Androgen Antagonists in The United KingdomSemantic proximity Read ↗

In silico comparison between the mutated and wild-type androgen receptors and their influence on the selection of optimum androgenic receptor blockers for the treatment of prostate cancerSemantic proximity Read ↗

Detection of anti-androgenic activity of chemicals in fish studies: a data reviewSemantic proximity Read ↗

In Silico Study Examining New Phenylpropanoids Targets with Antidepressant ActivitySemantic proximity Read ↗

Disruption of androgen receptor signaling by chlorpyrifos (CPF) and its environmental degradation products: a structural insightSemantic proximity Read ↗

Identification of activity cliffs in structure-activity landscape of androgen receptor binding chemicalsSemantic proximity Read ↗

Evaluation of potential adverse effects of gender-affirming hormonal therapy; findings from the Spanish Pharmacovigilance System DatabaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.