ProSeq
ProSeq catalogs a curated, non-redundant collection of prosequence- or prodomain-containing proteins to enable comparative analysis of intramolecular chaperone (IMC)–mediated folding, processing, and evolutionary patterns.
Key Features:
- Curated scope: A non-redundant collection focused on proteins that require prosequences or prodomains acting as intramolecular chaperones (IMCs) that facilitate folding and are typically cleaved.
- Content statistics: Contains 2,140 prosequence-assisted proteins comprising 1,848 eukaryotic, 255 bacterial, 24 viral, and 13 archaeal entries.
- Family and species coverage: Proteins are organized into 960 families across 690 species.
- Annotation of prosequence function: Entries include annotation of prosequence/prodomain regions, IMC activity, and processing/cleavage status.
- Structured dataset for analysis: Data are structured to support comparative analyses of prevalence, evolutionary patterns, and prosequence-associated properties.
Scientific Applications:
- Evolutionary analysis: Investigate the origin, prevalence, and evolution of prosequence-assisted folding across taxa.
- Structural constraint studies: Test whether prosequence-assisted proteins share distinctive structural constraints that favor prosequence dependence.
- Functional analysis: Assess biological functions that correlate with or favor dependence on prosequences or prodomains.
- Conservation and processing studies: Examine whether prosequences exhibit conserved properties linked to IMC activity and processing/cleavage.
- Comparative genomics: Enable cross-taxa comparisons among eukaryotic, bacterial, viral, and archaeal prosequence-assisted proteins.
Methodology:
Manual curation produced a non-redundant database with proteins annotated for prosequence/prodomain regions, IMC function, processing/cleavage status, and organized into families across species.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows
- Added:
- 12/18/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Filatov DA. Processing and population genetic analysis of multigenic datasets with ProSeq3 software. Bioinformatics. 2009;25(23):3189-3190. doi:10.1093/bioinformatics/btp572. PMID:19797407. PMCID:PMC2778335.