IHP-PING—generating integrated human protein–protein interaction networks on-the-fly. Issue 4 (31st October 2020)

• Record Type: Journal Article
• Authors: Mazandu, Gaston K; Hooper, Christopher; Opap, Kenneth; Makinde, Funmilayo; Nembaware, Victoria; Thomford, Nicholas E; Chimusa, Emile R; Wonkam, Ambroise; Mulder, Nicola J
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 4(2021)
• Publication Date: 2020-10-31
• Subjects: high-throughput technology -- protein–protein interaction -- network analysis -- post-genomic analysis -- human proteome; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa277
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Advances in high-throughput sequencing technologies have resulted in an exponential growth of publicly accessible biological datasets. In the 'big data' driven 'post-genomic' context, much work is being done to explore human protein–protein interactions (PPIs) for a systems level based analysis to uncover useful signals and gain more insights to advance current knowledge and answer specific biological and health questions. These PPIs are experimentally or computationally predicted, stored in different online databases and some of PPI resources are updated regularly. As with many biological datasets, such regular updates continuously render older PPI datasets potentially outdated. Moreover, while many of these interactions are shared between these online resources, each resource includes its own identified PPIs and none of these databases exhaustively contains all existing human PPI maps. In this context, it is essential to enable the integration of or combining interaction datasets from different resources, to generate a PPI map with increased coverage and confidence. To allow researchers to produce an integrated human PPI datasets in real-time, we introduce the integrated human protein–protein interaction network generator (IHP-PING) tool. IHP-PING is a flexible python package which generates a human PPI network from freely available online resources. This tool extracts and integrates heterogeneous PPI datasets to generate a unified PPI network, which is stored locally for further applications.