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

Genetics of PCOS: A systematic bioinformatics approach to unveil the proteins responsible for PCOS

1 Apr 2016

Abstract excerpt

Polycystic ovary syndrome (PCOS) is a hormonal imbalance in women, which causes problems during menstrual cycle and in pregnancy that sometimes results in fatality. Though the genetics of PCOS is not fully understood, early diagnosis and treatment can prevent long-term effects. In this study, we have studied the proteins involved in PCOS and the structural aspects of the proteins that are taken into consideration...

Read the complete abstract on PubMed

Topics

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

Share to Ovarian function and disorders
Share to Plant Reproductive Biology
Share to Reproductive Biology and Fertility

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 27114910
DOI: 10.1016/j.gdata.2016.03.008

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

Genetics of PCOS: A systematic bioinformatics approach to unveil the proteins responsible for PCOSPMID 27114910Read ↗

PCOSKB: A KnowledgeBase on genes, diseases, ontology terms and biochemical pathways associated with PolyCystic Ovary Syndrome.Semantic proximity Read ↗

In-Silico Investigation of Effects of Single-Nucleotide Polymorphisms in PCOS-Associated CYP11A1 Gene on Mutated Proteins.Semantic proximity Read ↗

Explore the potential molecular mechanism of polycystic ovarian syndrome by protein–protein interaction network analysisSemantic proximity Read ↗

[Proteomics and PCOS: Is it here the missing link? Literature review].Semantic proximity Read ↗

Understanding polycystic ovary syndrome in light of associated key genesSemantic proximity Read ↗

Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule networkSemantic proximity Read ↗

Pathogenetic analysis of polycystic ovary syndrome from the perspective of omicsSemantic proximity Read ↗

Systems biology and in silico-based analysis of PCOS revealed the risk of metabolic disordersSemantic proximity Read ↗

Construction of a polycystic ovarian syndrome (PCOS) pathway based on the interactions of PCOS-related proteins retrieved from bibliomic dataSemantic proximity Read ↗

A brief insight into the etiology, genetics, and immunology of polycystic ovarian syndrome (PCOS)Semantic proximity Read ↗

PCOS stratification for precision diagnostics and treatmentSemantic proximity Read ↗

PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome.Semantic proximity Read ↗

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