EcID

EcID maps protein-protein interactions in Escherichia coli using an in silico 2 hybrid system to predict the organism's interactome from sequence and genomic data.


Key Features:

  • In Silico 2 Hybrid System: Emulates the yeast two-hybrid system computationally to predict potential protein-protein interactions.
  • Comprehensive Pairwise Analysis: Systematically evaluates all possible pairs among E. coli proteins to generate an exhaustive set of candidate interactions.
  • Integration with Sequence and Genomic Data: Uses sequence and genomic information as input features for interaction prediction algorithms.

Scientific Applications:

  • Understanding Cellular Operations: Elucidates the E. coli interactome to inform studies of cellular processes and molecular mechanisms.
  • Insights into Protein Network Structure: Generates interaction data that can reveal the structural and functional organization of protein networks in E. coli.
  • Model System Analysis: Provides a computational interactome resource for using E. coli as a model to study fundamental biological processes.

Methodology:

Uses an in silico 2 hybrid system and computational algorithms that leverage sequence and genomic data to predict protein-protein interactions by systematically evaluating all protein pairs in E. coli.

Topics

Collections

Details

Tool Type:
web application
Added:
9/12/2015
Last Updated:
12/16/2018

Operations

Data Inputs & Outputs

Publications

Valencia A, Pazos F. Computational methods for the prediction of protein interactions. Current Opinion in Structural Biology. 2002;12(3):368-373. doi:10.1016/s0959-440x(02)00333-0. PMID:12127457.

Documentation