WeiBI (web-based platform): Enriching integrated interaction network with increased coverage and functional proteins from genome-wide experimental OMICS data

Aman Chandra Kaushik, Aamir Mehmood, Xiaofeng Dai, Dong Qing Wei

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Many molecular system biology approaches recognize various interactions and functional associations of proteins that occur in cellular processing. Further understanding of the characterization technique reveals noteworthy information. These types of known and predicted interactions, gained through multiple resources, are thought to be important for experimental data to satisfy comprehensive and quality needs. The current work proposes the “WeiBI (WeiBiologicalInteractions)” database that clarifies direct and indirect partnerships associated with biological interactions. This database contains information concerning protein’s functional partnerships and interactions along with their integration into a statistical model that can be computationally predicted for humans. This novel approach in WeiBI version 1.0 collects information using an improved algorithm by transferring interactions between more than 115570 entries, allowing statistical analysis with the automated background for the given inputs for functional enrichment. This approach also allows the input of an entity’s list from a database along with the visualization of subsets as an interaction network and successful performance of the enrichment analysis for a gene set. This wisely improved algorithm is user-friendly, and its accessibility and higher accuracy make it the best database for exploring interactions among genomes’ network and reflects the importance of this study. The proposed server “WeiBI” is accessible at http://weislab.com/WeiDOCK/?page=PKPD.

Original languageEnglish
Article number5618
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - 1 Dec 2020
Externally publishedYes

ASJC Scopus subject areas

  • General

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