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miPepBase: A Database of Experimentally Verified Peptides Involved in Molecular Mimicry
Anjali Garg1, Bandana Kumari1, Ravindra Kumar1
1Department of Biophysics, University of Delhi, New Delhi, India.
Abstract:
Autoimmune diseases emerge due to several reasons, of which molecular mimicry i.e., similarity between the host's and pathogen's interacting peptides is an important reason. In the present study we have reported a database of only experimentally verified peptide sequences, which exhibit molecular mimicry. The database is named as miPepBase (Mimicry Peptide Database) and contains comprehensive information about mimicry proteins and peptides of both host (and model organism) and pathogen. It also provides information about physicochemical properties of protein and mimicry peptides, which might be helpful in predicting the nature of protein and optimization of protein expression. The miPepBase can be searched using a keyword or, by autoimmune disease(s) or by a combination of host and pathogen taxonomic group or their name. To facilitate the search of proteins and/or epitope in miPepBase, which is similar to the user's interest, BLAST search tool is also incorporated. miPepBase is an open access database and available at http://proteininformatics.org/mkumar/mipepbase.
Insights
Molecular mimicry, a key factor in autoimmune diseases, involves similarities between host and pathogen peptides. We developed miPepBase, a database of experimentally verified mimicry peptides and proteins, aiding research into autoimmune disease mechanisms.
Area of Science:
- Immunology
- Bioinformatics
- Computational Biology
Background:
- Autoimmune diseases are often triggered by molecular mimicry, where pathogen peptides resemble host peptides.
- Understanding these molecular mimicry interactions is crucial for developing targeted therapies.
Purpose of the Study:
- To create a curated database of experimentally verified peptide sequences exhibiting molecular mimicry.
- To provide a comprehensive resource for researchers studying the link between molecular mimicry and autoimmune diseases.
Main Methods:
- Compilation of experimentally validated peptide and protein sequences involved in molecular mimicry.
- Inclusion of physicochemical properties for host and pathogen mimicry peptides.
- Development of a searchable interface with keyword, disease, and taxonomic group filtering.
- Integration of a BLAST search tool for sequence similarity analysis.
Main Results:
- Establishment of miPepBase, a novel database detailing molecular mimicry interactions.
- The database contains information on host and pathogen mimicry peptides and proteins.
- Physicochemical properties are included to aid in predicting protein behavior.
Conclusions:
- miPepBase serves as a valuable, open-access resource for autoimmune disease research.
- The database facilitates the identification and analysis of molecular mimicry relevant to disease pathogenesis.
- miPepBase supports further investigation into host-pathogen peptide similarities and their immunological consequences.
