ABCMdb reloaded: updates on mutations in ATP binding cassette proteins.

Database (Oxford)

MTA-SE Molecular Biophysics Research Group, Hungarian Academy of Sciences and Department of Biophysics and Radiation Biology, Semmelweis University, Budapest 1094, Hungary.

Published: January 2017

AI Article Synopsis

  • ABC proteins with altered functions are linked to various human diseases, necessitating an understanding of their mutations.
  • A new database called ABCMdb has been developed to facilitate research on ABC transporters by providing information on mutations, including data from ClinVar and predictions from SNAP2 and PROVEAN.
  • The database enhances research efficiency by combining in silico predictions, DNA information, and structural data to better understand how mutations may impact the function of ABC proteins and their drug interactions.

Article Abstract

Unlabelled: ABC (ATP-Binding Cassette) proteins with altered function are responsible for numerous human diseases. To aid the selection of positions and amino acids for ABC structure/function studies we have generated a database, ABCMdb (Gyimesi et al. , ABCMdb: a database for the comparative analysis of protein mutations in ABC transporters, and a potential framework for a general application. Hum Mutat 2012; 33:1547-1556.), with interactive tools. The database has been populated with mentions of mutations extracted from full text papers, alignments and structural models. In the new version of the database we aimed to collect the effect of mutations from databases including ClinVar. Because of the low number of available data, even in the case of the widely studied disease-causing ABC proteins, we also included the possible effects of mutations based on SNAP2 and PROVEAN predictions. To aid the interpretation of variations in non-coding regions, the database was supplemented with related DNA level information. Our results emphasize the importance of in silico predictions because of the sparse information available on variants and suggest that mutations at analogous positions in homologous ABC proteins have a strong predictive power for the effects of mutations. Our improved ABCMdb advances the design of both experimental studies and meta-analyses in order to understand drug interactions of ABC proteins and the effects of mutations on functional expression.

Database Url: http://abcm2.hegelab.org.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467578PMC
http://dx.doi.org/10.1093/database/bax023DOI Listing

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