drugfindR-package: drugfindR: Drug Repurposing using Gene Expression Signatures
In CogDisResLab/drugfindR: Investigate iLINCS for candidate repurposable drugs
drugfindR-package R Documentation
drugfindR: Drug Repurposing using Gene Expression Signatures
Description
drugfindR is a package that allows users to perform drug
repurposing using gene expression signatures. It uses the LINCS L1000
database to find the most similar gene expression signatures to the user's
input signature. It then uses the connectivity analysis to find the most
similar
drugs to the user's input signature.
Details
drugfindR-package
The drugfindR package allows users to perform drug repurposing using gene
expression signatures. It uses the LINCS L1000 database to find the most
similar gene expression signatures to the user's input signature. It then
uses the connectivity analysis to find the most similar drugs to the user's
input signature.
References
Imami, Ali S., Sinead M. O’donovan, Justin F. Creeden,
Xiaojun Wu, Hunter Eby, Cheryl B. McCullumsmith, Kerstin Uvnäs-Moberg,
Robert E. McCullumsmith, and Elissar Andari.
“Oxytocin’s Anti-Inflammatory and Proimmune Functions in Covid-19:
A Transcriptomic Signature-Based Approach.”
Physiological Genomics, 2020.
https://doi.org/10.1152/physiolgenomics.00095.2020.
O’Donovan, Sinead M., Ali Imami, Hunter Eby,
Nicholas D. Henkel, Justin Fortune Creeden, Sophie Asah, Xiaolu Zhang, et al.
“Identification of Candidate Repurposable Drugs to Combat COVID-19
Using a Signature-Based Approach.”
Scientific Reports 11, no. 1 (December 24, 2021): 4495.
https://doi.org/10.1038/s41598-021-84044-9.
Creeden, Justin Fortune, Ali Sajid Imami, Hunter M. Eby, Cassidy Gillman,
Kathryn N. Becker, Jim Reigle, Elissar Andari, et al.
“Fluoxetine as an Anti-Inflammatory Therapy in SARS-CoV-2 Infection.”
Biomedicine & Pharmacotherapy 138 (June 1, 2021): 111437.
https://doi.org/10.1016/j.biopha.2021.111437.
Author
Ali Sajid Imami
Maintainer
Ali Sajid Imami
Contributors
Smita Sahay
Justin Fortune Creeden
Sinead M. O'Donovan
Hunter Eby
License
GNU Public License 3.0
Acknowledgements
This work was supported by the National Institutes
of Mental Health of the USA.
This work was heavily supported by the members of
the Cognitive Disorders Research Lab.
This work was made possible by the Fulbright Scholar
Program with the Fulbright Masters Grant
awarded to Ali Sajid Imami.
Author(s)
Maintainer: Ali Sajid Imami Ali.Sajid.Imami@gmail.com (ORCID)
Authors:
Smita Sahay Smita.Sahay@rockets.utoledo.edu (ORCID)
Justin Fortune Creeden Justin.Creeden@rockets.utoledo.edu (ORCID)
See Also
Useful links:
CogDisResLab/drugfindR documentation built on Nov. 19, 2024, 4:17 p.m.
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| drugfindR-package | R Documentation |
drugfindR: Drug Repurposing using Gene Expression Signatures
Description
drugfindR is a package that allows users to perform drug repurposing using gene expression signatures. It uses the LINCS L1000 database to find the most similar gene expression signatures to the user's input signature. It then uses the connectivity analysis to find the most similar drugs to the user's input signature.
Details
drugfindR-package
The drugfindR package allows users to perform drug repurposing using gene expression signatures. It uses the LINCS L1000 database to find the most similar gene expression signatures to the user's input signature. It then uses the connectivity analysis to find the most similar drugs to the user's input signature.
References
Imami, Ali S., Sinead M. O’donovan, Justin F. Creeden, Xiaojun Wu, Hunter Eby, Cheryl B. McCullumsmith, Kerstin Uvnäs-Moberg, Robert E. McCullumsmith, and Elissar Andari. “Oxytocin’s Anti-Inflammatory and Proimmune Functions in Covid-19: A Transcriptomic Signature-Based Approach.” Physiological Genomics, 2020. https://doi.org/10.1152/physiolgenomics.00095.2020.
O’Donovan, Sinead M., Ali Imami, Hunter Eby, Nicholas D. Henkel, Justin Fortune Creeden, Sophie Asah, Xiaolu Zhang, et al. “Identification of Candidate Repurposable Drugs to Combat COVID-19 Using a Signature-Based Approach.” Scientific Reports 11, no. 1 (December 24, 2021): 4495. https://doi.org/10.1038/s41598-021-84044-9.
Creeden, Justin Fortune, Ali Sajid Imami, Hunter M. Eby, Cassidy Gillman, Kathryn N. Becker, Jim Reigle, Elissar Andari, et al. “Fluoxetine as an Anti-Inflammatory Therapy in SARS-CoV-2 Infection.” Biomedicine & Pharmacotherapy 138 (June 1, 2021): 111437. https://doi.org/10.1016/j.biopha.2021.111437.
Author
Ali Sajid Imami
Maintainer
Ali Sajid Imami
Contributors
Smita Sahay Justin Fortune Creeden Sinead M. O'Donovan Hunter Eby
License
GNU Public License 3.0
Acknowledgements
This work was supported by the National Institutes of Mental Health of the USA.
This work was heavily supported by the members of the Cognitive Disorders Research Lab.
This work was made possible by the Fulbright Scholar Program with the Fulbright Masters Grant awarded to Ali Sajid Imami.
Author(s)
Maintainer: Ali Sajid Imami Ali.Sajid.Imami@gmail.com (ORCID)
Authors:
Smita Sahay Smita.Sahay@rockets.utoledo.edu (ORCID)
Justin Fortune Creeden Justin.Creeden@rockets.utoledo.edu (ORCID)
See Also
Useful links:
R Package Documentation
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