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Mining Protein Interactions and Gene Expression Data to Gain Insights into Drug-induced Toxicity Mechanisms
Conference proceeding

Mining Protein Interactions and Gene Expression Data to Gain Insights into Drug-induced Toxicity Mechanisms

Kaushal Desai, David Brott, Xiaohua Hu and Anastasia Christianson
2011 IEEE International Conference on Bioinformatics and Biomedicine, pp 652-657
Nov 2011
DOI: https://doi.org/10.1109/BIBM.2011.86
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

color coding Compounds Databases Drugs Gene expression hotspots Image edge detection neutropenia Protein engineering protein Interaction networks Proteins systems biology toxicity
In silico approaches for drug-induced toxicity evaluation are likely to enable improved screening of new chemical entities during drug discovery and development. Analysis of protein-protein interaction (PPI) networks using an edge centrality-based measure has previously been shown to reveal protein modules that may be associated with drug-induced toxicity. Here, we extend the algorithm by integrating protein interaction information with in vitro gene expression data from tissue treated with drugs known to be associated with the toxicity. We evaluate the new measure for its ability to detect non- immune neutropenia related proteins and propose a biomarker panel that may be valuable for screening future drug candidates.

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Collaboration types
Industry collaboration
Domestic collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Medical Informatics
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