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
Query and retrieval
Query and retrieval
Query and retrieval
Other operations do not define inputs or 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.
PMID: 12127457