43
Views
0
CrossRef citations to date
0
Altmetric
Research Article

GSLAlign: community detection and local PPI network alignment

&
Received 09 Sep 2023, Accepted 29 Dec 2023, Published online: 12 Jan 2024
 

Abstract

High throughput protein–protein interaction (PPI) profiling and computational techniques have resulted in generating a large amount of PPI network data. The study of PPI networks helps in understanding the biological processes of the proteins. The comparative study of the PPI networks helps in identifying the conserved interactions across the species. This article presents a novel local PPI network aligner ‘GSLAlign’ that consists of two stages. It first detects the communities from the PPI networks by applying the GraphSAGE algorithm using gene expression data. In the second stage, the detected communities are aligned using a community aligner that is based on protein sequence similarity. The community detection algorithm produces more separable and biologically accurate communities as compared to previous community detection algorithms. Moreover, the proposed community alignment algorithm achieves 3–8% better results in terms of semantic similarity as compared to previous local aligners. The average connectivity and coverage of the proposed algorithm are also better than the existing aligners.

Communicated by Ramaswamy H. Sarma

Authors’ contributions

UA and HN designed the research. UA implements the research. UA and HN analyze the results and write the manuscript. Both authors proofread the article.

Ethical statement

This article is prepared according to the rules of ethical organizations. This article did not include any animal or human testing/involvement. Moreover, this article is an original article.

Disclosure statement

We have no conflict of interest (financial or non-financial).

Additional information

Funding

This work has been supported by a grant to establish Precision Medicine Lab under the umbrella of the National Center in Big Data and Cloud Computing from the Higher Education of Pakistan.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,074.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.