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

Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data.

International journal of computational biology and drug design - 1 Jan 2012

Jiang Rui, Gan Mingxin, Wu Jiaxin

Abstract excerpt

Recent studies have suggested the common disease-rare variant (CD-RV) hypothesis in the mapping of disease-related genetic variants and have proposed a number of statistical methods to detect associations between rare variants and human inherited diseases. However, most of these methods take the selection of functional variants as a preliminary step in order to maximise the power of statistical tests. To meet...

Read the complete abstract on PubMed

Topics

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

Share to Amino Acid Sequence
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Rare Diseases

Share to Sequence Analysis, Protein

Source

Identifiers

PMID: 23013650
DOI: 10.1504/IJCBDD.2012.049204

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data.PMID 23013650Read ↗

Inferring non-synonymous single-nucleotide polymorphisms-disease associations via integration of multiple similarity networks.Semantic proximity Read ↗

Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines.Semantic proximity Read ↗

Prediction of disease-associated functional variants in noncoding regions through a comprehensive analysis by integrating datasets and features.Semantic proximity Read ↗

Prediction of deleterious nonsynonymous single-nucleotide polymorphism for human diseases.Semantic proximity Read ↗

Ranking non-synonymous single nucleotide polymorphisms based on disease concepts.Semantic proximity Read ↗

Prediction of deleterious non-synonymous SNPs based on protein interaction network and hybrid properties.Semantic proximity Read ↗

Prioritization Of Nonsynonymous Single Nucleotide Variants For Exome Sequencing Studies Via Integrative Learning On Multiple Genomic Data.Semantic proximity Read ↗

In silico searching for disease-associated functional DNA variants.Semantic proximity Read ↗

Prioritisation of associations between protein domains and complex diseases using domain-domain interaction networks.Semantic proximity Read ↗

Sequence-based prioritization of nonsynonymous single-nucleotide polymorphisms for the study of disease mutations.Semantic proximity Read ↗

Prediction of disease causing non-synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP.Semantic proximity Read ↗

A similarity-based method for genome-wide prediction of disease-relevant human genes.Semantic proximity Read ↗

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