PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool

Summary: Drug development has been hampered by a high failure rate in clinical trials due to our incomplete understanding of drug functions across organs and species. Therefore, elucidating species- and tissue-specific drug functions can provide insights into therapeutic efficacy, potential adverse...

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Main Authors: Yen-Wei Chen, Graciel Diamante, Jessica Ding, Thien Xuan Nghiem, Jessica Yang, Sung-Min Ha, Peter Cohn, Douglas Arneson, Montgomery Blencowe, Jennifer Garcia, Nima Zaghari, Paul Patel, Xia Yang
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:iScience
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Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222003224
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author Yen-Wei Chen
Graciel Diamante
Jessica Ding
Thien Xuan Nghiem
Jessica Yang
Sung-Min Ha
Peter Cohn
Douglas Arneson
Montgomery Blencowe
Jennifer Garcia
Nima Zaghari
Paul Patel
Xia Yang
author_facet Yen-Wei Chen
Graciel Diamante
Jessica Ding
Thien Xuan Nghiem
Jessica Yang
Sung-Min Ha
Peter Cohn
Douglas Arneson
Montgomery Blencowe
Jennifer Garcia
Nima Zaghari
Paul Patel
Xia Yang
author_sort Yen-Wei Chen
collection DOAJ
description Summary: Drug development has been hampered by a high failure rate in clinical trials due to our incomplete understanding of drug functions across organs and species. Therefore, elucidating species- and tissue-specific drug functions can provide insights into therapeutic efficacy, potential adverse effects, and interspecies differences necessary for effective translational medicine. Here, we present PharmOmics, a drug knowledgebase and analytical tool that is hosted on an interactive web server. Using tissue- and species-specific transcriptome data from human, mouse, and rat curated from different databases, we implemented a gene-network-based approach for drug repositioning. We demonstrate the potential of PharmOmics to retrieve known therapeutic drugs and identify drugs with tissue toxicity using in silico performance assessment. We further validated predicted drugs for nonalcoholic fatty liver disease in mice. By combining tissue- and species-specific in vivo drug signatures with gene networks, PharmOmics serves as a complementary tool to support drug characterization and network-based medicine.
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spelling doaj.art-02dddb0194d8443180ce4ac7eada51d02022-12-21T22:12:37ZengElsevieriScience2589-00422022-04-01254104052PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning toolYen-Wei Chen0Graciel Diamante1Jessica Ding2Thien Xuan Nghiem3Jessica Yang4Sung-Min Ha5Peter Cohn6Douglas Arneson7Montgomery Blencowe8Jennifer Garcia9Nima Zaghari10Paul Patel11Xia Yang12Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular, Cellular, & Integrative Physiology, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Bioinformatics, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular, Cellular, & Integrative Physiology, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Molecular, Cellular, & Integrative Physiology, Los Angeles, Los Angeles, CA 90095, USA; Interdepartmental Program of Bioinformatics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA 90095, USA; Corresponding authorSummary: Drug development has been hampered by a high failure rate in clinical trials due to our incomplete understanding of drug functions across organs and species. Therefore, elucidating species- and tissue-specific drug functions can provide insights into therapeutic efficacy, potential adverse effects, and interspecies differences necessary for effective translational medicine. Here, we present PharmOmics, a drug knowledgebase and analytical tool that is hosted on an interactive web server. Using tissue- and species-specific transcriptome data from human, mouse, and rat curated from different databases, we implemented a gene-network-based approach for drug repositioning. We demonstrate the potential of PharmOmics to retrieve known therapeutic drugs and identify drugs with tissue toxicity using in silico performance assessment. We further validated predicted drugs for nonalcoholic fatty liver disease in mice. By combining tissue- and species-specific in vivo drug signatures with gene networks, PharmOmics serves as a complementary tool to support drug characterization and network-based medicine.http://www.sciencedirect.com/science/article/pii/S2589004222003224BioinformaticsBiocomputational methodSystems biologyIn silico biology
spellingShingle Yen-Wei Chen
Graciel Diamante
Jessica Ding
Thien Xuan Nghiem
Jessica Yang
Sung-Min Ha
Peter Cohn
Douglas Arneson
Montgomery Blencowe
Jennifer Garcia
Nima Zaghari
Paul Patel
Xia Yang
PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
iScience
Bioinformatics
Biocomputational method
Systems biology
In silico biology
title PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
title_full PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
title_fullStr PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
title_full_unstemmed PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
title_short PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool
title_sort pharmomics a species and tissue specific drug signature database and gene network based drug repositioning tool
topic Bioinformatics
Biocomputational method
Systems biology
In silico biology
url http://www.sciencedirect.com/science/article/pii/S2589004222003224
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