Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5121
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBansal, Ankush-
dc.contributor.authorSrivastava, Pulkit Anupam-
dc.contributor.authorSingh, Tiratha Raj-
dc.date.accessioned2022-07-25T04:24:41Z-
dc.date.available2022-07-25T04:24:41Z-
dc.date.issued2018-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5121-
dc.descriptionScIenTIfIc REPOrTS | (2018) 8:10238 | DOI:10.1038/s41598-018-28577-6en_US
dc.description.abstractUnderstanding 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 datadriven 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.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectDrug targeten_US
dc.subjectProtein interactionen_US
dc.titleAn Integrative Approach to Develop Computational Pipeline for Drug-target Interaction Network Analysisen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.