ArticleAnnals of neurosciences2018
Estrogen Receptor α- and β-Interacting Proteins Contain Consensus Secondary Structures: An Insilico Study.
Article in Annals of neurosciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Bisphenol M Impairs Ovarian Function through Disrupting Estrogen Synthesis in Female Mice: A Comparative Study with Bisphenol A.Environment & health (Washington, D.C.) · 2026Article
- Roles of estrogen and its receptors in polycystic ovary syndrome.Frontiers in cell and developmental biology · 2024Review
- Significant Association of Estrogen Receptor-β Isoforms and Coactivators in Breast Cancer Subtypes.Current issues in molecular biology · 2023Article
- Lipedema and the Potential Role of Estrogen in Excessive Adipose Tissue Accumulation.International journal of molecular sciences · 2021Review
- CLPTM1L induces estrogen receptor β signaling-mediated radioresistance in non-small cell lung cancer cells.Cell communication and signaling : CCS · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEstrogen receptor (ER)α and ERβ are ligand-activated transcription factors that regulate gene expression by binding to estrogen-responsive elements and interacting with several coregulators through protein-protein interactions. Usually, these coregulators bind to the various conserved and functional domains of the receptor through a consensus LXXLL sequence, although variations can be found. The interaction of receptor domains and the consensus motif can be a possible target for nuclear receptor (NR) pharmacology, since modifications in these are responsible for possible pathogenesis of various diseases. PURPOSE: The present study focuses on the secondary structure and conserved domains of the ERα and ERβ interacting proteins, using bioinformatics tools and their relation to the function of the coregulators.
methodsBioinformatics-based prediction tools like STRING, PSIPRED, PROTPARAM and Conserved Domain Database (CDD) were used. The prediction tools utilized in this study basically determines the characteristics of a possible coregulator by using an already existing protein as a template and determines the presence of any conserved consensus sequence. Coregulators have been enlisted with the help of NCBI, STRING and iHOP. The secondary structures were analyzed using PSIPRED and conserved domains were determined using CDD.
resultsThe analysis of the structure has shown the presence of conserved domains and homology between the various coregulators. Each interacting protein contains conserved domains like the nuclear coactivators' domain, the helix-loop-helix domain and the SRC domain.
conclusionSuch studies give the characteristic features of ERα and ERβ interacting proteins and maybe useful to determine their family and uses in NR pharmacology in health and diseases.
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