Protein network analysis and functional enrichment via computational biotechnology unravel molecular and pathogenic mechanisms of kidney stone disease
Issued Date
2023-04-01
Resource Type
ISSN
23194170
Scopus ID
2-s2.0-85150817755
Journal Title
Biomedical Journal
Volume
46
Issue
2
Rights Holder(s)
SCOPUS
Bibliographic Citation
Biomedical Journal Vol.46 No.2 (2023)
Suggested Citation
Peerapen P., Thongboonkerd V. Protein network analysis and functional enrichment via computational biotechnology unravel molecular and pathogenic mechanisms of kidney stone disease. Biomedical Journal Vol.46 No.2 (2023). doi:10.1016/j.bj.2023.01.001 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82083
Title
Protein network analysis and functional enrichment via computational biotechnology unravel molecular and pathogenic mechanisms of kidney stone disease
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Mass spectrometry-based proteomics has been extensively applied to current biomedical research. From such large-scale identification of proteins, several computational tools have been developed for determining protein–protein interactions (PPI) network and functional significance of the identified proteins and their complex. Analyses of PPI network and functional enrichment have been widely applied to various fields of biomedical research. Herein, we summarize commonly used tools for PPI network analysis and functional enrichment in kidney stone research and discuss their applications to kidney stone disease (KSD). Such computational approach has been used mainly to investigate PPI networks and functional significance of the proteins derived from urine of patients with kidney stone (stone formers), stone matrix, Randall's plaque, renal papilla, renal tubular cells, mitochondria and immune cells. The data obtained from computational biotechnology leads to experimental validation and investigations that offer new knowledge on kidney stone formation processes. Moreover, the computational approach may also lead to defining new therapeutic targets and preventive strategies for better outcome in KSD management.