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.

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