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Published on: August 15, 2019
ProGMap: an integrated annotation resource for protein orthology
Arnold Kuzniar1, Ke Lin, Ying He
1Laboratory of Bioinformatics, Wageningen University and Research Centre (WUR), Dreijenlaan 3, 6703 HA Wageningen, The Netherlands.
ProGMap is a web tool that maps protein sequences across diverse databases, resolving annotation conflicts for researchers. It aids in the accurate annotation of newly sequenced proteins using a unified classification system.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Protein sequence databases utilize varied classification systems, leading to inconsistent annotations, particularly for uncharacterized proteins.
- Accurate protein annotation is crucial for understanding biological functions and advancing research.
Purpose of the Study:
- To introduce ProGMap, a web-tool designed to reconcile conflicting protein annotations across multiple databases.
- To facilitate the annotation of newly sequenced proteins by assessing the coherence of protein groups.
Main Methods:
- ProGMap utilizes a non-redundant dataset of over 6.6 million protein sequences.
- It maps sequences to 240,000 protein group descriptions from various databases (UniProt, RefSeq, Ensembl, etc.).
- A network of links is constructed using an automated mapping approach, integrating diverse classification schemes.
Main Results:
- The tool integrates classification schemes from multiple protein databases.
- It provides a unified view of protein group mappings, enhancing annotation consistency.
- Querying is possible via sequence identifiers, gene symbols, protein functions, or nucleotide/amino acid sequences.
Conclusions:
- ProGMap offers a valuable resource for researchers and database annotators dealing with protein annotation discrepancies.
- It supports high-throughput methodologies by providing coherent annotations for partially annotated genomic data.
- The web-tool promotes more reliable protein classification and facilitates biological discovery.
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