EWCA

EWCA (Edge Weight method and Core-Attachment structure) is a computational method for identifying protein complexes from protein-protein interaction (PPI) networks. It addresses several limitations of existing methods, such as high false-positive rates, inability to identify overlapping complexes, and lack of consideration for the inherent organization within protein complexes.

Key features of EWCA:

1. New weighting method: EWCA assesses the reliability of interactions using a novel weighting method.

2. Identification of protein complex cores: The method identifies complex cores by evaluating the structural similarity between a seed and its direct neighbors.

3. Detection of attachment proteins: EWCA introduces a new approach to distinguish and identify peripheral and overlapping proteins.

4. Formation of protein complexes: Attachment proteins are bound to their corresponding complex cores to form complete protein complexes, and redundant complexes are discarded.

Topic

Protein interactions;Protein expression;Protein interaction experiment

Detail

  • Operation: Pathway or network prediction;Pathway or network comparison;Protein interaction prediction

  • Software interface: Command-line user interface

  • Language: Python

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: National Natural Science Foundation of China, Interdisciplinary research funding program for doctoral candidates of jilin university, Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry of China.

  • Input: -

  • Output: -

  • Contact: Guixia Liu liugx@jlu.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
  • Wang R, et al. Identifying protein complexes based on an edge weight algorithm and core-attachment structure. Identifying protein complexes based on an edge weight algorithm and core-attachment structure. 2019; 20:471. doi: 10.1186/s12859-019-3007-y
  • https://doi.org/10.1186/S12859-019-3007-Y
  • PMID: 31521132
  • PMC: PMC6744658

Download and documentation


< Back to DB search