An integrative approach to develop computational pipeline for drug-target interaction network analysis

Understanding the general principles governing the functioning of biological networks is a major challenge of the current era. Functionality of biological networks can be observed from drug and target interaction perspective. All possible modes of operations of biological networks are confined by th...

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Bibliographic Details
Published in:Scientific reports 2018-07, Vol.8 (1), p.10238-9, Article 10238
Main Authors: Bansal, Ankush, Srivastava, Pulkit Anupam, Singh, Tiratha Raj
Format: Article
Language:English
Subjects:
Computer applications
Disease
Drugs
Gene mapping
Genes
Ontology
Pharmacology
Proteins
Therapeutic applications
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Summary:Understanding the general principles governing the functioning of biological networks is a major challenge of the current era. Functionality of biological networks can be observed from drug and target interaction perspective. All possible modes of operations of biological networks are confined by the interaction analysis. Several of the existing approaches in this direction, however, are data-driven and thus lack potential to be generalized and extrapolated to different species. In this paper, we demonstrate a systems pharmacology pipeline and discuss how the network theory, along with gene ontology (GO) analysis, co-expression analysis, module re-construction, pathway mapping and structure level analysis can be used to decipher important properties of biological networks with the aim to propose lead molecule for the therapeutic interventions of various diseases.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-018-28577-6