A Novel Collaborative Filtering Model-Based Method for Identifying Essential Proteins.

ABSTRACT: Considering that traditional biological experiments are expensive and time consuming, it is important to develop effective computational models to infer potential essential proteins. In this manuscript, a novel collaborative filtering model-based method called CFMM was proposed, in which, an updated protein-domain interaction (PDI) network was constructed first by applying collaborative filtering algorithm on the original PDI network, and then, through integrating topological features of PDI networks with biological features of proteins, a calculative method was designed to infer potential essential proteins based on an improved PageRank algorithm. The novelties of CFMM lie in construction of an updated PDI network, application of the commodity-customer-based collaborative filtering algori

SUBMITTER: Zhu X 

PROVIDER: S-EPMC8566338 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature