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Updated: Mar 30, 2026

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Published on: December 9, 2016

MIPCE: an MI-based protein complex extraction technique.

Priyakshi Mahanta¹, Dhruba Kr Bhattacharyya, Ashish Ghosh

¹Department of Computer Science and Engineering, Tezpur University, Napaam 784 028, India.

Journal of Biosciences

|November 14, 2015

Summary

This summary is machine-generated.

This study introduces MIPCE, a novel method using mutual information to identify protein complexes within protein-protein interaction networks. MIPCE demonstrates superior performance in biological validation and comparative analyses.

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Last Updated: Mar 30, 2026

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

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Published on: December 9, 2016

2 in 1: One-step Affinity Purification for the Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes

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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

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Published on: April 1, 2017

Area of Science:

Bioinformatics
Systems Biology
Computational Biology

Background:

Protein-protein interaction (PPI) networks are crucial for understanding cellular functions and biological processes.
Identifying protein complexes is essential for elucidating cellular organization and organismal functions.

Purpose of the Study:

To propose a novel method, MIPCE, for identifying protein complexes in PPI networks.
To leverage mutual information for enhanced protein complex detection.

Main Methods:

Developed the MIPCE algorithm based on mutual information principles.
Employed Gene Ontology (GO)-based scoring for biological validation of identified complexes.
Compared MIPCE's performance against established protein complex detection methods.

Main Results:

MIPCE successfully identified protein complexes with significant biological relevance.
The method achieved satisfactory results validated by GO-based scores.
Comparative analysis showed MIPCE outperformed existing methods in precision, recall, and F-measure.

Conclusions:

MIPCE is an effective and robust method for protein complex identification in PPI networks.
The use of mutual information provides a valuable approach for this task.
MIPCE offers improved accuracy and reliability for biological research.