Research Topic

Multi-Omic Integration for Graph-Based Drug Repurposing

About this Research Topic

Development of high-throughput experimental techniques such as Next Generation Sequencing and antibody-based protein microarrays has resulted in volumes of data describing different aspects of cellular biology. In order to minimize experimental noise and gain a deeper understanding of molecular phenotypes, it is pertinent to integrate data of different types and from different sources using multi-omic approaches. When the phenotypes in question relate to cellular dysregulations and disorders (e.g., human diseases), the resulting multi-omic models, such as graphs of functionally associated proteins, can be used to investigate mechanisms of repair or functional restoration of the underlying diseases - drug development.

One aspect of multi-omics-based drug development with huge uncovered therapeutic potential is drug repurposing. This is an important way to maximize the time, economic resources, and efforts used in taking a new compound to market by investigating its therapeutic potential for other diseases. It is also a way to speed up the process of finding new therapeutic avenues in extraordinary medical situations such as the current COVID-19 pandemic.

In this Research Topic we aim at collecting the latest research describing, applying, and advancing the use of multi-omic integration techniques and resulting graphs or networks of associations with the goal of drug repurposing. Due to the COVID-19 pandemic we also welcome contributions focused on graph-based drug repurposing of COVID-19 related treatments.

Areas covered in this Research Topic may include, but are not limited to:
• New methods of graph- or network-based drug repurposing
• Novel applications of existing graph- or network-based techniques for drug repurposing
• Multi-omics integration for complex diseases
• Models utilizing omics data for drug repurposing
• Connection of omics layers to facilitate drug repurposing
• Construction of graphs or networks for drug repurposing
• Integration of databases for drug repurposing
• Novel multi-omic resources for drugs and diseases

Topic Editor Dimitri Guala holds a position at Merck AB. All other Topic Editors declare no competing interests with regard to the Research Topic subject.


Keywords: drug repurposing, drug repositioning, multi-omic, multi-modal, data integration, network-based, graph-based


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Development of high-throughput experimental techniques such as Next Generation Sequencing and antibody-based protein microarrays has resulted in volumes of data describing different aspects of cellular biology. In order to minimize experimental noise and gain a deeper understanding of molecular phenotypes, it is pertinent to integrate data of different types and from different sources using multi-omic approaches. When the phenotypes in question relate to cellular dysregulations and disorders (e.g., human diseases), the resulting multi-omic models, such as graphs of functionally associated proteins, can be used to investigate mechanisms of repair or functional restoration of the underlying diseases - drug development.

One aspect of multi-omics-based drug development with huge uncovered therapeutic potential is drug repurposing. This is an important way to maximize the time, economic resources, and efforts used in taking a new compound to market by investigating its therapeutic potential for other diseases. It is also a way to speed up the process of finding new therapeutic avenues in extraordinary medical situations such as the current COVID-19 pandemic.

In this Research Topic we aim at collecting the latest research describing, applying, and advancing the use of multi-omic integration techniques and resulting graphs or networks of associations with the goal of drug repurposing. Due to the COVID-19 pandemic we also welcome contributions focused on graph-based drug repurposing of COVID-19 related treatments.

Areas covered in this Research Topic may include, but are not limited to:
• New methods of graph- or network-based drug repurposing
• Novel applications of existing graph- or network-based techniques for drug repurposing
• Multi-omics integration for complex diseases
• Models utilizing omics data for drug repurposing
• Connection of omics layers to facilitate drug repurposing
• Construction of graphs or networks for drug repurposing
• Integration of databases for drug repurposing
• Novel multi-omic resources for drugs and diseases

Topic Editor Dimitri Guala holds a position at Merck AB. All other Topic Editors declare no competing interests with regard to the Research Topic subject.


Keywords: drug repurposing, drug repositioning, multi-omic, multi-modal, data integration, network-based, graph-based


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

11 June 2021 Abstract
15 October 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

11 June 2021 Abstract
15 October 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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