Annotating Cancer-Related Variants at Protein–Protein Interface with Structure-PPi

A comprehensive analysis of germline and somatic variants requires complex computational approaches that combine next-generation sequencing (NGS)-based omics data with curated annotations from public repositories. Here, we describe Structure-PPi, which facilitates the analysis of cancer-related vari...

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Detalles Bibliográficos
Autores: Vazquez, Miguel, Pons, Tirso
Tipo de recurso: capítulo de libro
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/370820
Acceso en línea:https://hdl.handle.net/2117/370820
https://dx.doi.org/10.1007/978-1-0716-2293-3_20
Access Level:acceso abierto
Palabra clave:Protein-protein interactions
Protein isoforms
3D structure analysis
Protein–protein interactions
Rbbt workflows
Variants prioritization
Cancer mutations
Càncer
Simulació per ordinador
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Descripción
Sumario:A comprehensive analysis of germline and somatic variants requires complex computational approaches that combine next-generation sequencing (NGS)-based omics data with curated annotations from public repositories. Here, we describe Structure-PPi, which facilitates the analysis of cancer-related variants onto protein 3D structures, interaction interfaces, and other important functional sites (i.e., catalytic, ligand-binding, posttranslational modification). Our approach relies on features extracted from Interactome3D, UniProtKB, InterPro, APPRIS, dbNSFP, and COSMIC databases and provides complementary information to pathogenicity prediction methods. Thus, Structure-PPi helps in the discrimination of false-positive predictions and adds both mechanistic and biological insights into the role of variants in a given cancer. An online version of the tools is available at https://rbbt.bsc.es/StructurePPI/.