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.

Documentation