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

Protein interactions in human genetic diseases.

Genome biology - 16 Jan 2008

Schuster-Böckler Benjamin, Bateman Alex

Abstract excerpt

We present a novel method that combines protein structure information with protein interaction data to identify residues that form part of an interaction interface. Our prediction method can retrieve interaction hotspots with an accuracy of 60% (at a 20% false positive rate). The method was applied to all mutations in the Online Mendelian Inheritance in Man (OMIM) database, predicting 1,428 mutations to be...

Read the complete abstract on PubMed

Topics

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

Share to Databases, Genetic
Share to Databases, Protein
Share to Genetic Diseases, Inborn

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Methods

Share to Mutation

Share to Protein Binding

Share to Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 18199329
DOI: 10.1186/gb-2008-9-1-r9
PMCID: PMC2395246

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Protein interactions in human genetic diseases.PMID 18199329Read ↗

Interactome INSIDER: a structural interactome browser for genomic studies.Semantic proximity Read ↗

Capturing variation impact on molecular interactions: the IMEx Consortium mutations data setSemantic proximity Read ↗

Modeling and analyzing three-dimensional structures of human disease proteins.Semantic proximity Read ↗

Genome-wide analysis of human disease alleles reveals that their locations are correlated in paralogous proteins.Semantic proximity Read ↗

The properties of human disease mutations at protein interfacesSemantic proximity Read ↗

Three-dimensional reconstruction of protein networks provides insight into human genetic disease.Semantic proximity Read ↗

Implications of disease-related mutations at protein-protein interfaces.Semantic proximity Read ↗

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

Predicting functional consequences of mutations using molecular interaction network featuresSemantic proximity Read ↗

Predicting functional consequences of mutations using molecular interaction network features.Semantic proximity Read ↗

Protein-protein interaction sites are hot spots for disease-associated nonsynonymous SNPs.Semantic proximity Read ↗

Interactome INSIDER: a multi-scale structural interactome browser for genomic studiesSemantic proximity Read ↗

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