Protein features fusion using attributed network embedding for predicting protein-protein interaction

Abstract Background Protein-protein interactions (PPIs) hold significant importance in biology, with precise PPI prediction as a pivotal factor in comprehending cellular processes and facilitating drug design. However, experimental determination of PPIs is laborious, time-consuming, and often constr...

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Bibliographic Details

Published in:	BMC Genomics
Main Authors:	Mei-Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
Format:	Article
Language:	English
Published:	BMC 2024-05-01
Subjects:	Protein-protein interaction prediction Protein sequences Feature fusion learning Gaussian kernel Levenshtein distance
Online Access:	https://doi.org/10.1186/s12864-024-10361-8