Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Network pharmacological evaluation for identifying novel drug-like molecules from ginger (Zingiber officinale Rosc.) against multiple disease targets, a computational biotechnology approach Subject The topic of the resource GCMS; Ginger; Molecular docking; Pharmacophore; Phytomedicine; Tripartite network Description An account of the resource Ginger (Zingiber officinale Rosc.) is a popular spice used globally in ethnic cuisines and witnessed its extensive use in traditional medicine. In this study, we identified 12 phytochemicals from the ginger rhizome extract (hexane) through GC/MS analysis. After evaluating drug-likeliness, these phytochemicals were docked with 16 target proteins in silico, and docking scores were compared with their respective control drugs. Furthermore, multivariate statistical analysis (principal component analysis-PCA) was performed, and three different chemical clusters were identified. Pharmacophore analysis further identified common functional descriptors in the compounds under study. Finally, we developed a unique three-level network taking phytochemicals, target proteins and associated diseases based on the optimum docking scores. Overall, Oleic acid, Palmitic acid and Shogaol showed the highest coverage to the target proteins (12, 10 and 9 targets, respectively) and Oleic Acid scored the highest (5956) in PatchDock when docked against Peroxisome proliferator-activated receptor gamma (PDB id 1KNU, UniProt id P37231). This work provided significant insight into developing the protocol for rapid identification of potential drug likeliness of the identified phytochemicals. Graphic abstract: [Figure not available: see fulltext.]. 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature. Creator An entity primarily responsible for making the resource Nag A.; Banerjee R. Source A related resource from which the described resource is derived Network Modeling Analysis in Health Informatics and Bioinformatics, Vol-10, No. 1 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13721-021-00330-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13721-021-00330-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113685474&amp;doi=10.1007%2Fs13721-021-00330-6&amp;partnerID=40&amp;md5=e11f722cc2b28a0b318057fda3e1c662" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113685474&amp;doi=10.1007%2fs13721-021-00330-6&amp;partnerID=40&amp;md5=e11f722cc2b28a0b318057fda3e1c662</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21926662 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Bangalore, India; Banerjee R., School of Biological and Environmental Sciences, Shoolini University, Solan, India