Identification of essential proteins based on protein complex and topology properties

Abstract

Abstract: The identification of essential proteins is helpful to understand the process of life at the molecular level, thus the identification of essential proteins has gradually become an important research work. However, the identification of essential proteins that only focused on the topological characteristics is not accurate enough. To improve the recognition accuracy, a new method EIC was proposed, which integrated the local central information and global topological features of protein complex for identifying essential proteins. Different Protein-Protein Interaction (PPI) networks of DIP and MIPS were used as materials.Some experiments of different assessment method were used including precise-recall curves and jackknife methodology.By comparing the proposed method with the existing methods such as DC, BC, EC, SC, LAC, NC and the recent method UC, the ability of recognizing essential proteins by the proposed method EIC is more effective, in that it may enhance the accuracy for identifying essential proteins.

Key words: protein interaction network, essential proteins, protein complex, assessment method

CLC Number:

TP301

LU Peng-li, YU Jing-juan. Identification of essential proteins based on protein complex and topology properties[J]. Journal of Lanzhou University of Technology, 2022, 48(2): 97-106.

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