hfAIM
hfAIM identifies genome-wide autophagy-associated Atg8 interacting motifs (AIMs) by scanning proteomes for the degenerate F/W/Y-X-X-L/I/V motif and applying additional sequence constraints to predict functional AIMs.
Key Features:
- Genome-wide scanning: Performs in silico, proteome-wide identification and prediction of Atg8 interacting motifs (AIMs).
- AIM consensus motif: Targets the degenerate consensus sequence F/W/Y-X-X-L/I/V commonly associated with Atg8 interaction.
- Additional sequence constraints: Requires presence of acidic amino acids and absence of positively charged amino acids at specified motif positions.
- Improved prediction fidelity: Incorporates the additional charge-based constraints to increase accuracy of AIM prediction across diverse proteomes.
- Proteome application: Applied to the Arabidopsis thaliana proteome, identifying potential AIMs including nine peroxisomal PEX proteins such as AtPEX1, AtPEX6, and AtPEX10.
- Conserved motif detection: Identifies evolutionarily conserved AIMs within protein families.
- Experimental validation linkage: Predicted AIMs were experimentally validated to interact with Atg8 via bimolecular fluorescence complementation (BiFC) assays in planta.
- Phenotypic association: Links mutations within or near identified hfAIM motifs in PEX1, PEX6, and PEX10 to defects in growth and development.
Scientific Applications:
- Selective autophagy target discovery: Enables genome-wide screens to identify proteins potentially regulated by selective autophagy via Atg8 interaction.
- Evolutionary and functional analysis: Facilitates identification of conserved AIMs for evolutionary comparisons and functional studies of protein families.
- Experimental prioritization: Provides candidate AIMs to guide experimental validation such as BiFC and investigations of mutation-associated phenotypes.
Methodology:
In silico proteome-wide scanning for the degenerate F/W/Y-X-X-L/I/V motif combined with filtering by required acidic residues and exclusion of positively charged residues at specified motif positions to predict AIMs.
Topics
Details
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/21/2016
- Last Updated:
- 1/13/2019
Operations
Publications
Xie Q, Tzfadia O, Levy M, Weithorn E, Peled-Zehavi H, Van Parys T, Van de Peer Y, Galili G. hfAIM: A reliable bioinformatics approach for in silico genome-wide identification of autophagy-associated Atg8-interacting motifs in various organisms. Autophagy. 2016;12(5):876-887. doi:10.1080/15548627.2016.1147668. PMID:27071037. PMCID:PMC4854547.