Loading…

Genomic strategies for drug repurposing

Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Egyptian National Cancer Institute 2024-11, Vol.36 (1), p.35-12
Main Authors: Dave, Kirtan, Patel, Dhaval, Dave, Nischal, Jain, Mukul
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 12
container_issue 1
container_start_page 35
container_title Journal of Egyptian National Cancer Institute
container_volume 36
creator Dave, Kirtan
Patel, Dhaval
Dave, Nischal
Jain, Mukul
description Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.
doi_str_mv 10.1186/s43046-024-00245-z
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_proquest_journals_3126598606</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A815557165</galeid><doaj_id>oai_doaj_org_article_aa86c41aec42463295d7926202a07687</doaj_id><sourcerecordid>A815557165</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-69418d64f7a719deaf1eb0519bf400c265fed66fa30d1b94e02be73a86880e6f3</originalsourceid><addsrcrecordid>eNptkE9LAzEQxYMoWKtfwNOCB09bJ_9mk2MpWgsFL3pesrvJktJuarJ70E9vsIIeZGAGHu_9eAwhtxQWlCp8SIKDwBKYKCEvWX6ekRmTSpcgQJ-TGaUUSuDILslVSjsARKjkjNyv7RAOvi3SGM1oe29T4UIsujj1RbTHKR5D8kN_TS6c2Sd783Pn5O3p8XX1XG5f1pvVclu2gvOxRC2o6lC4ylRUd9Y4ahuQVDdOALQMpbMdojMcOtpoYYE1tuJGoVJg0fE52Zy4XTC7-hj9wcSPOhhffwsh9rWJo2_3tjY51QpqbCuYQM607CrNkAEzUKGqMuvuxDrG8D7ZNNa7MMUh1685zVW0QsBfV28y1A8u5E-0B5_aeqmolLKiKLNr8Y8rT2fz98Jgnc_6n8AXEqt2XQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3126598606</pqid></control><display><type>article</type><title>Genomic strategies for drug repurposing</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Springer Nature - SpringerLink Journals - Fully Open Access</source><creator>Dave, Kirtan ; Patel, Dhaval ; Dave, Nischal ; Jain, Mukul</creator><creatorcontrib>Dave, Kirtan ; Patel, Dhaval ; Dave, Nischal ; Jain, Mukul</creatorcontrib><description>Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.</description><identifier>ISSN: 1110-0362</identifier><identifier>EISSN: 2589-0409</identifier><identifier>DOI: 10.1186/s43046-024-00245-z</identifier><language>eng</language><publisher>Cairo: Springer</publisher><subject>Artificial intelligence ; Cancer ; Cancer therapies ; Cell cycle ; Computer science ; CRISPR ; Data mining ; Disease ; Drug development ; Drug discovery ; Drug repurposing ; Drugs ; Gene expression ; Genes ; Genetics ; Genomes ; Genomics ; Health aspects ; Homeopathy ; Kinases ; Materia medica and therapeutics ; NGS ; Ontology ; Open source software ; Pharmacogenetics ; Phosphorylation ; Proteins ; Proteomics ; R&amp;D ; Research &amp; development ; Therapeutics ; Visualization</subject><ispartof>Journal of Egyptian National Cancer Institute, 2024-11, Vol.36 (1), p.35-12</ispartof><rights>COPYRIGHT 2024 Springer</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3126598606/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3126598606?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25751,27922,27923,37010,44588,74896</link.rule.ids></links><search><creatorcontrib>Dave, Kirtan</creatorcontrib><creatorcontrib>Patel, Dhaval</creatorcontrib><creatorcontrib>Dave, Nischal</creatorcontrib><creatorcontrib>Jain, Mukul</creatorcontrib><title>Genomic strategies for drug repurposing</title><title>Journal of Egyptian National Cancer Institute</title><description>Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.</description><subject>Artificial intelligence</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cell cycle</subject><subject>Computer science</subject><subject>CRISPR</subject><subject>Data mining</subject><subject>Disease</subject><subject>Drug development</subject><subject>Drug discovery</subject><subject>Drug repurposing</subject><subject>Drugs</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Health aspects</subject><subject>Homeopathy</subject><subject>Kinases</subject><subject>Materia medica and therapeutics</subject><subject>NGS</subject><subject>Ontology</subject><subject>Open source software</subject><subject>Pharmacogenetics</subject><subject>Phosphorylation</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>R&amp;D</subject><subject>Research &amp; development</subject><subject>Therapeutics</subject><subject>Visualization</subject><issn>1110-0362</issn><issn>2589-0409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkE9LAzEQxYMoWKtfwNOCB09bJ_9mk2MpWgsFL3pesrvJktJuarJ70E9vsIIeZGAGHu_9eAwhtxQWlCp8SIKDwBKYKCEvWX6ekRmTSpcgQJ-TGaUUSuDILslVSjsARKjkjNyv7RAOvi3SGM1oe29T4UIsujj1RbTHKR5D8kN_TS6c2Sd783Pn5O3p8XX1XG5f1pvVclu2gvOxRC2o6lC4ylRUd9Y4ahuQVDdOALQMpbMdojMcOtpoYYE1tuJGoVJg0fE52Zy4XTC7-hj9wcSPOhhffwsh9rWJo2_3tjY51QpqbCuYQM607CrNkAEzUKGqMuvuxDrG8D7ZNNa7MMUh1685zVW0QsBfV28y1A8u5E-0B5_aeqmolLKiKLNr8Y8rT2fz98Jgnc_6n8AXEqt2XQ</recordid><startdate>20241111</startdate><enddate>20241111</enddate><creator>Dave, Kirtan</creator><creator>Patel, Dhaval</creator><creator>Dave, Nischal</creator><creator>Jain, Mukul</creator><general>Springer</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope></search><sort><creationdate>20241111</creationdate><title>Genomic strategies for drug repurposing</title><author>Dave, Kirtan ; Patel, Dhaval ; Dave, Nischal ; Jain, Mukul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-69418d64f7a719deaf1eb0519bf400c265fed66fa30d1b94e02be73a86880e6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cell cycle</topic><topic>Computer science</topic><topic>CRISPR</topic><topic>Data mining</topic><topic>Disease</topic><topic>Drug development</topic><topic>Drug discovery</topic><topic>Drug repurposing</topic><topic>Drugs</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Health aspects</topic><topic>Homeopathy</topic><topic>Kinases</topic><topic>Materia medica and therapeutics</topic><topic>NGS</topic><topic>Ontology</topic><topic>Open source software</topic><topic>Pharmacogenetics</topic><topic>Phosphorylation</topic><topic>Proteins</topic><topic>Proteomics</topic><topic>R&amp;D</topic><topic>Research &amp; development</topic><topic>Therapeutics</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dave, Kirtan</creatorcontrib><creatorcontrib>Patel, Dhaval</creatorcontrib><creatorcontrib>Dave, Nischal</creatorcontrib><creatorcontrib>Jain, Mukul</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database (ProQuest)</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Directory of Open Access Journals</collection><jtitle>Journal of Egyptian National Cancer Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dave, Kirtan</au><au>Patel, Dhaval</au><au>Dave, Nischal</au><au>Jain, Mukul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genomic strategies for drug repurposing</atitle><jtitle>Journal of Egyptian National Cancer Institute</jtitle><date>2024-11-11</date><risdate>2024</risdate><volume>36</volume><issue>1</issue><spage>35</spage><epage>12</epage><pages>35-12</pages><issn>1110-0362</issn><eissn>2589-0409</eissn><abstract>Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.</abstract><cop>Cairo</cop><pub>Springer</pub><doi>10.1186/s43046-024-00245-z</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1110-0362
ispartof Journal of Egyptian National Cancer Institute, 2024-11, Vol.36 (1), p.35-12
issn 1110-0362
2589-0409
language eng
recordid cdi_proquest_journals_3126598606
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); Springer Nature - SpringerLink Journals - Fully Open Access
subjects Artificial intelligence
Cancer
Cancer therapies
Cell cycle
Computer science
CRISPR
Data mining
Disease
Drug development
Drug discovery
Drug repurposing
Drugs
Gene expression
Genes
Genetics
Genomes
Genomics
Health aspects
Homeopathy
Kinases
Materia medica and therapeutics
NGS
Ontology
Open source software
Pharmacogenetics
Phosphorylation
Proteins
Proteomics
R&D
Research & development
Therapeutics
Visualization
title Genomic strategies for drug repurposing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T10%3A59%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genomic%20strategies%20for%20drug%20repurposing&rft.jtitle=Journal%20of%20Egyptian%20National%20Cancer%20Institute&rft.au=Dave,%20Kirtan&rft.date=2024-11-11&rft.volume=36&rft.issue=1&rft.spage=35&rft.epage=12&rft.pages=35-12&rft.issn=1110-0362&rft.eissn=2589-0409&rft_id=info:doi/10.1186/s43046-024-00245-z&rft_dat=%3Cgale_doaj_%3EA815557165%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c433t-69418d64f7a719deaf1eb0519bf400c265fed66fa30d1b94e02be73a86880e6f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3126598606&rft_id=info:pmid/&rft_galeid=A815557165&rfr_iscdi=true