Cargando…

StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit

Target prioritization is essential for drug discovery and repositioning. Applying computational methods to analyze and process multi-omics data to find new drug targets is a practical approach for achieving this. Despite an increasing number of methods for generating datasets such as genomics, pheno...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Chiyun, Lin, Junxia, Prokop, Andrzej, Gopalakrishnan, Vancheswaran, Hanna, Richard N., Papa, Eliseo, Freeman, Adrian, Patel, Saleha, Yu, Wen, Huhn, Monika, Sheikh, Abdul-Saboor, Tan, Keith, Sellman, Bret R., Cohen, Taylor, Mangion, Jonathan, Khan, Faisal M., Gusev, Yuriy, Shameer, Khader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197487/
https://www.ncbi.nlm.nih.gov/pubmed/35711912
http://dx.doi.org/10.3389/fgene.2022.868015
_version_ 1784727423637520384
author Lee, Chiyun
Lin, Junxia
Prokop, Andrzej
Gopalakrishnan, Vancheswaran
Hanna, Richard N.
Papa, Eliseo
Freeman, Adrian
Patel, Saleha
Yu, Wen
Huhn, Monika
Sheikh, Abdul-Saboor
Tan, Keith
Sellman, Bret R.
Cohen, Taylor
Mangion, Jonathan
Khan, Faisal M.
Gusev, Yuriy
Shameer, Khader
author_facet Lee, Chiyun
Lin, Junxia
Prokop, Andrzej
Gopalakrishnan, Vancheswaran
Hanna, Richard N.
Papa, Eliseo
Freeman, Adrian
Patel, Saleha
Yu, Wen
Huhn, Monika
Sheikh, Abdul-Saboor
Tan, Keith
Sellman, Bret R.
Cohen, Taylor
Mangion, Jonathan
Khan, Faisal M.
Gusev, Yuriy
Shameer, Khader
author_sort Lee, Chiyun
collection PubMed
description Target prioritization is essential for drug discovery and repositioning. Applying computational methods to analyze and process multi-omics data to find new drug targets is a practical approach for achieving this. Despite an increasing number of methods for generating datasets such as genomics, phenomics, and proteomics, attempts to integrate and mine such datasets remain limited in scope. Developing hybrid intelligence solutions that combine human intelligence in the scientific domain and disease biology with the ability to mine multiple databases simultaneously may help augment drug target discovery and identify novel drug-indication associations. We believe that integrating different data sources using a singular numerical scoring system in a hybrid intelligent framework could help to bridge these different omics layers and facilitate rapid drug target prioritization for studies in drug discovery, development or repositioning. Herein, we describe our prototype of the StarGazer pipeline which combines multi-source, multi-omics data with a novel target prioritization scoring system in an interactive Python-based Streamlit dashboard. StarGazer displays target prioritization scores for genes associated with 1844 phenotypic traits, and is available via https://github.com/AstraZeneca/StarGazer.
format Online
Article
Text
id pubmed-9197487
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-91974872022-06-15 StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit Lee, Chiyun Lin, Junxia Prokop, Andrzej Gopalakrishnan, Vancheswaran Hanna, Richard N. Papa, Eliseo Freeman, Adrian Patel, Saleha Yu, Wen Huhn, Monika Sheikh, Abdul-Saboor Tan, Keith Sellman, Bret R. Cohen, Taylor Mangion, Jonathan Khan, Faisal M. Gusev, Yuriy Shameer, Khader Front Genet Genetics Target prioritization is essential for drug discovery and repositioning. Applying computational methods to analyze and process multi-omics data to find new drug targets is a practical approach for achieving this. Despite an increasing number of methods for generating datasets such as genomics, phenomics, and proteomics, attempts to integrate and mine such datasets remain limited in scope. Developing hybrid intelligence solutions that combine human intelligence in the scientific domain and disease biology with the ability to mine multiple databases simultaneously may help augment drug target discovery and identify novel drug-indication associations. We believe that integrating different data sources using a singular numerical scoring system in a hybrid intelligent framework could help to bridge these different omics layers and facilitate rapid drug target prioritization for studies in drug discovery, development or repositioning. Herein, we describe our prototype of the StarGazer pipeline which combines multi-source, multi-omics data with a novel target prioritization scoring system in an interactive Python-based Streamlit dashboard. StarGazer displays target prioritization scores for genes associated with 1844 phenotypic traits, and is available via https://github.com/AstraZeneca/StarGazer. Frontiers Media S.A. 2022-05-31 /pmc/articles/PMC9197487/ /pubmed/35711912 http://dx.doi.org/10.3389/fgene.2022.868015 Text en Copyright © 2022 Lee, Lin, Prokop, Gopalakrishnan, Hanna, Papa, Freeman, Patel, Yu, Huhn, Sheikh, Tan, Sellman, Cohen, Mangion, Khan, Gusev and Shameer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Lee, Chiyun
Lin, Junxia
Prokop, Andrzej
Gopalakrishnan, Vancheswaran
Hanna, Richard N.
Papa, Eliseo
Freeman, Adrian
Patel, Saleha
Yu, Wen
Huhn, Monika
Sheikh, Abdul-Saboor
Tan, Keith
Sellman, Bret R.
Cohen, Taylor
Mangion, Jonathan
Khan, Faisal M.
Gusev, Yuriy
Shameer, Khader
StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title_full StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title_fullStr StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title_full_unstemmed StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title_short StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
title_sort stargazer: a hybrid intelligence platform for drug target prioritization and digital drug repositioning using streamlit
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197487/
https://www.ncbi.nlm.nih.gov/pubmed/35711912
http://dx.doi.org/10.3389/fgene.2022.868015
work_keys_str_mv AT leechiyun stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT linjunxia stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT prokopandrzej stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT gopalakrishnanvancheswaran stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT hannarichardn stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT papaeliseo stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT freemanadrian stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT patelsaleha stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT yuwen stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT huhnmonika stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT sheikhabdulsaboor stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT tankeith stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT sellmanbretr stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT cohentaylor stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT mangionjonathan stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT khanfaisalm stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT gusevyuriy stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit
AT shameerkhader stargazerahybridintelligenceplatformfordrugtargetprioritizationanddigitaldrugrepositioningusingstreamlit