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

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

Scientific reports - 7 Sept 2020

Sharma Mridula, Barai Ram Shankar, Kundu Indra, Bhaye Sameeksha, Pokar Khushal, Idicula-Thomas Susan

Abstract excerpt

PolyCystic Ovary Syndrome KnowledgeBase (PCOSKBR2) is a manually curated database with information on 533 genes, 145 SNPs, 29 miRNAs, 1,150 pathways, and 1,237 diseases associated with PCOS. This data has been retrieved based on evidence gleaned by critically reviewing literature and related records available for PCOS in databases such as KEGG, DisGeNET, OMIM, GO, Reactome, STRING, and dbSNP. Since PCOS is...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Disease

Share to Gene Regulatory Networks

Share to Knowledge Bases

Share to MicroRNAs

Share to Polycystic Ovary Syndrome

Source

Open in PubMed Open full text

Identifiers

PMID: 32895427
DOI: 10.1038/s41598-020-71418-8
PMCID: PMC7477240

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome.PMID 32895427Read ↗

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

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

Unraveling the complexity of the molecular pathways associated with polycystic ovary syndrome (PCOS) and identifying molecular targets for therapeutic development: a review of literatureSemantic proximity Read ↗

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

Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysisSemantic proximity Read ↗

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

Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized TreatmentSemantic proximity Read ↗

Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and personalized treatment.Semantic proximity Read ↗

Molecular genetics of polycystic ovary syndrome: an update.Semantic proximity Read ↗

Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic moleculesSemantic proximity Read ↗

A genome-wide association study of polycystic ovary syndrome identified from electronic health recordsSemantic proximity Read ↗

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

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