ArticleDatabase : the journal of biological databases and curation2017
ABCMdb reloaded: updates on mutations in ATP binding cassette proteins.
Article in Database : the journal of biological databases and curation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Analysis of AlphaMissense data in different protein groups and structural context.Scientific data · 2024Article
- Comprehensive Collection and Prediction of ABC Transmembrane Protein Structures in the AI Era of Structural Biology.International journal of molecular sciences · 2022Article
- VARIDT 2.0: structural variability of drug transporter.Nucleic acids research · 2022Article
- Structure-Based Understanding of ABCA3 Variants.International journal of molecular sciences · 2021Article
- Medically Important Alterations in Transport Function and Trafficking of ABCG2.International journal of molecular sciences · 2021Review
- ChannelsDB: database of biomacromolecular tunnels and pores.Nucleic acids research · 2018Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.