Identification of drug efficacy change using reconstructed network altered by SNPs on pathway gene
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Sukyung | - |
dc.contributor.author | Lee, Taekeon | - |
dc.contributor.author | Jang, Giup | - |
dc.contributor.author | Hwang, Soyoun | - |
dc.contributor.author | Yoon, Youngmi | - |
dc.date.available | 2020-02-27T15:43:55Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1748-5673 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5302 | - |
dc.description.abstract | Precision medicine is a medical approach tailored to individual patients. Recently, precision medicine has become more accessible, as the cost of analysing a human genome is now below 1000 USD. Since genetic variations like SNPs affect proteins like receptors, transporters, and enzymes, they cause variability of drug response between people. This can be a serious risk to both patients and clinicians. However, there are no network-based studies confirming the efficacy of drugs that have taken account of those genetic variations. This study presents a method to identify the change of drug efficacy for each pathway gene, which affects the mode of action of drugs. Adopting public genetic information, we construct two types of drug action-sub network with SNPs and without SNPs, and calculate the differences in drug efficacy. We expect that our model can be utilised for precision medicine by predicting the change in drug efficacy. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INDERSCIENCE ENTERPRISES LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | - |
dc.subject | WARFARIN | - |
dc.subject | GENOME | - |
dc.subject | POLYMORPHISMS | - |
dc.subject | DATABASE | - |
dc.subject | TIME | - |
dc.title | Identification of drug efficacy change using reconstructed network altered by SNPs on pathway gene | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000451832900002 | - |
dc.identifier.doi | 10.1504/IJDMB.2018.096404 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.21, no.2, pp.107 - 122 | - |
dc.identifier.scopusid | 2-s2.0-85057892175 | - |
dc.citation.endPage | 122 | - |
dc.citation.startPage | 107 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | - |
dc.citation.volume | 21 | - |
dc.citation.number | 2 | - |
dc.contributor.affiliatedAuthor | Seo, Sukyung | - |
dc.contributor.affiliatedAuthor | Lee, Taekeon | - |
dc.contributor.affiliatedAuthor | Jang, Giup | - |
dc.contributor.affiliatedAuthor | Hwang, Soyoun | - |
dc.contributor.affiliatedAuthor | Yoon, Youngmi | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | drug efficacy | - |
dc.subject.keywordAuthor | SNP | - |
dc.subject.keywordAuthor | network reconstruction | - |
dc.subject.keywordAuthor | genetic variants | - |
dc.subject.keywordAuthor | precision medicine | - |
dc.subject.keywordAuthor | transcription factor | - |
dc.subject.keywordPlus | WARFARIN | - |
dc.subject.keywordPlus | GENOME | - |
dc.subject.keywordPlus | POLYMORPHISMS | - |
dc.subject.keywordPlus | DATABASE | - |
dc.subject.keywordPlus | TIME | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.