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MIPDB: a relational database dedicated to MIP family proteins
Khalid El Karkouri1, Hervé Gueuné, Christian Delamarche
1UMR CNRS 6026 Interactions Cellulaires et Moléculaires, Université de Rennes 1, équipe SDM (Structure et Dynamique des Macromolécules), Campus de Beaulieu, Bât. 13, 35042 Rennes Cedex, France.
Background Information:
The MIPs (major intrinsic proteins) constitute a large family of membrane proteins that facilitate the passive transport of water and small neutral solutes across cell membranes. Since water is the most abundant molecule in all living organisms, the discovery of selective water-transporting channels called AQPs (aquaporins) has led to new knowledge on both the physiological and molecular mechanisms of membrane permeability. The MIPs are identified in Archaea, Bacteria and Eukaryota, and the rapid accumulation of new sequences in the database provides an opportunity for large-scale analysis, to identify functional and/or structural signatures or to infer evolutionary relationships. To help perform such an analysis, we have developed MIPDB (database for MIP proteins), a relational database dedicated to members of the MIP family.
Results:
MIPDB is a motif-oriented database that integrates data on 785 MIP proteins from more than 200 organisms and contains 230 distinct sequence motifs. MIPDB proposes the classification of MIP proteins into three functional subgroups: AQPs, glycerol-uptake facilitators and aquaglyceroporins. Plant MIPs are classified into three specific subgroups according to their subcellular distribution in the plasma membrane, tonoplast or the symbiosome membrane. Some motifs of the database are highly selective and can be used to predict the transport function or subcellular localization of unknown MIP proteins.
Conclusions:
MIPDB offers a user-friendly and intuitive interface for a rapid and easy access to MIP resources and to sequence analysis tools. MIPDB is a web application, publicly accessible at http://idefix.univ-rennes1.fr:8080/Prot/index.html.
Insights
MIPDB is a new database for major intrinsic proteins (MIPs), including aquaporins (AQPs), that classifies these membrane transport proteins and aids in predicting their function and location. This resource facilitates large-scale analysis of MIPs across diverse organisms.
Area of Science:
- Membrane biology
- Bioinformatics
- Protein science
Background:
- Major intrinsic proteins (MIPs) are crucial membrane proteins facilitating the transport of water and small solutes.
- Aquaporins (AQPs), a subset of MIPs, are key to understanding cellular membrane permeability.
- MIPs are found across Archaea, Bacteria, and Eukaryota, necessitating comprehensive databases for analysis.
Purpose of the Study:
- To develop MIPDB, a relational database for MIP proteins.
- To enable large-scale analysis of MIP sequences for functional and evolutionary insights.
- To provide a centralized resource for studying the MIP protein family.
Main Methods:
- Integrated data on 785 MIP proteins from over 200 organisms.
- Developed a motif-oriented database containing 230 distinct sequence motifs.
- Classified MIP proteins into functional subgroups: AQPs, glycerol-uptake facilitators, and aquaglyceroporins.
Main Results:
- MIPDB classifies MIP proteins into three functional subgroups.
- Plant MIPs are further categorized by subcellular localization (plasma membrane, tonoplast, symbiosome membrane).
- Identified selective motifs can predict the transport function and subcellular localization of unknown MIP proteins.
Conclusions:
- MIPDB provides a user-friendly interface for accessing MIP resources and analysis tools.
- The database is publicly accessible as a web application.
- MIPDB supports research on membrane transport and protein function.
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