dbMisLoc

dbMisLoc catalogs experimentally validated protein mis-localization events and their associated conditions to support research into disease mechanisms and cellular responses.


Key Features:

  • Manual curation: Records were manually curated from primary literature to ensure entry-level provenance and experimental validation.
  • Comprehensive data records: Each entry reports the protein's normal and mis-localized states, the conditions leading to mis-localization, and literature references.
  • Condition categories: Mis-localization events are annotated across 14 categories of conditions, including diseases, drug treatments, and environmental stresses.
  • BLAST search integration: The database incorporates a BLAST search engine to enable sequence-based identification of proteins reported as mis-localized.

Scientific Applications:

  • Study of disease mechanisms: Enable investigation of how protein mis-localization contributes to complex disorders.
  • Biomarker and target discovery: Support identification of candidate biomarkers or therapeutic targets linked to localization changes.
  • Comparative and functional analysis: Facilitate sequence-based comparative studies and hypothesis generation via BLAST-derived similarity matches.

Methodology:

Entries were manually curated from the literature and the database integrates a BLAST search engine for sequence-based queries.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
JavaScript
Added:
9/15/2023
Last Updated:
9/15/2023

Operations

Data Inputs & Outputs

Database search

Publications

Wang R, Luo T, Guo Y, Yang Z, Zhang H, Hao H, Du P. dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events. Interdisciplinary Sciences: Computational Life Sciences. 2023;15(3):433-438. doi:10.1007/s12539-023-00564-0. PMID:37000408.

PMID: 37000408
Funding: - National Natural Science Foundation of China: 61872268

Links