UniProtExtractR

UniProtExtractR extracts protein-specific information from UniProtKB to retrieve and categorize annotated features for downstream bioinformatics analyses.


Key Features:

  • Data extraction across nine categories: Extracts information from UniProtKB entries for DNA binding, Pathway, Transmembrane regions, Signal peptides, Protein families, Domains [FT], Motifs, Involvement in disease, and Subcellular location [CC].
  • Frequency table summaries: Produces frequency tables that summarize original UniProtKB input queries and the extracted or modified entry values.
  • Custom organelle-level resolution mapping: Implements a tractable mapping algorithm that enables definition of custom organelle-level resolution for subcellular localization data.

Scientific Applications:

  • Pathway and disease protein identification: Identifies proteins associated with specific pathways and disease involvement using UniProtKB annotations.
  • Subcellular localization analysis: Analyzes and categorizes subcellular location patterns using Subcellular location [CC] annotations and organelle-level mapping.
  • Protein domain and motif characterization: Extracts Domains [FT] and Motifs to support functional interpretation of protein regions.
  • Systems-level protein annotation: Generates summarized annotation tables for use in molecular biology, biochemistry, genetics, and systems biology studies.

Methodology:

Extracts annotations from UniProtKB entries, generates frequency tables summarizing input and extracted values, and applies a tractable mapping algorithm for custom organelle-level resolution of subcellular location data.

Topics

Details

Cost:
Free of charge
Tool Type:
api, library
Programming Languages:
R
Added:
4/19/2024
Last Updated:
4/19/2024

Operations

Publications

Panov A, Harper JW. UniProtExtractR: an app and R package for easily extracting protein-specific UniProtKB information and fine-tuning organelle resolution. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad157. PMID:37953912. PMCID:PMC10636703.

PMID: 37953912
Funding: - National Institutes of Health: AG011085 - Michael J Fox Foundation: ASAP-000282

Links