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

Computational identification of non-synonymous polymorphisms within regions corresponding to protein interaction sites.

Computers in biology and medicine - 1 Dec 2016

Skrlj Blaz, Kunej Tanja

Abstract excerpt

BACKGROUND: Protein-protein interactions (PPI) play an important role in function of all organisms and enable understanding of underlying metabolic processes. Computational predictions of PPIs are an important aspect in proteomics, as experimental methods may result in high degree of false positive results and are more expensive. Although there are many databases collecting predicted PPIs, exploration of genetics...

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 Databases, Protein
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Molecular

Share to Polymorphism, Single Nucleotide

Share to Protein Interaction Mapping

Share to Proteins

Source

Identifiers

PMID: 27744178
DOI: 10.1016/j.compbiomed.2016.10.003

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computational identification of non-synonymous polymorphisms within regions corresponding to protein interaction sites.PMID 27744178Read ↗

Identification of Sequence Variants within Experimentally Validated Protein Interaction Sites Provides New Insights into Molecular Mechanisms of Disease Development.Semantic proximity Read ↗

PicSNP: a browsable catalog of nonsynonymous single nucleotide polymorphisms in the human genome.Semantic proximity Read ↗

LS-SNP: large-scale annotation of coding non-synonymous SNPs based on multiple information sources.Semantic proximity Read ↗

Determining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.Semantic proximity Read ↗

The effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on protein-protein interactions.Semantic proximity Read ↗

SNPdbe: constructing an nsSNP functional impacts database.Semantic proximity Read ↗

Combination use of protein-protein interaction network topological features improves the predictive scores of deleterious non-synonymous single-nucleotide polymorphisms.Semantic proximity Read ↗

Domain altering SNPs in the human proteome and their impact on signaling pathways.Semantic proximity Read ↗

Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.Semantic proximity Read ↗

Protein domain-based structural interfaces help interpret biologically-relevant interactions in the human interaction networkSemantic proximity Read ↗

Approaches for using protein-protein interaction networks for biological discoverySemantic proximity Read ↗

SNPeffect: a database mapping molecular phenotypic effects of human non-synonymous coding SNPs.Semantic proximity Read ↗

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