DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Gwangmin | ko |
dc.contributor.author | Lee, Doheon | ko |
dc.date.accessioned | 2023-05-22T06:00:26Z | - |
dc.date.available | 2023-05-22T06:00:26Z | - |
dc.date.created | 2023-05-22 | - |
dc.date.created | 2023-05-22 | - |
dc.date.issued | 2023-05 | - |
dc.identifier.citation | COMPUTERS IN BIOLOGY AND MEDICINE, v.158 | - |
dc.identifier.issn | 0010-4825 | - |
dc.identifier.uri | http://hdl.handle.net/10203/306886 | - |
dc.description.abstract | Identifying molecular targets of a drug is an essential process for drug discovery and development. The recent in-silico approaches are usually based on the structure information of chemicals and proteins. However, 3D structure information is hard to obtain and machine-learning methods using 2D structure suffer from data imbalance problem. Here, we present a reverse tracking method from genes to target proteins using drug-perturbed gene transcriptional profiles and multilayer molecular networks. We scored how well the protein explains gene expression changes perturbed by a drug. We validated the protein scores of our method in predicting known targets of drugs. Our method performs better than other methods using the gene transcriptional profiles and shows the ability to suggest the molecular mechanism of drugs. Furthermore, our method has the potential to predict targets for objects that do not have rigid structural information, such as coronavirus. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Reverse tracking from drug-induced transcriptomes through multilayer molecular networks reveals hidden drug targets | - |
dc.type | Article | - |
dc.identifier.wosid | 000976265200001 | - |
dc.identifier.scopusid | 2-s2.0-85151804854 | - |
dc.type.rims | ART | - |
dc.citation.volume | 158 | - |
dc.citation.publicationname | COMPUTERS IN BIOLOGY AND MEDICINE | - |
dc.identifier.doi | 10.1016/j.compbiomed.2023.106881 | - |
dc.contributor.localauthor | Lee, Doheon | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Drug-target prediction | - |
dc.subject.keywordAuthor | Reverse tracking | - |
dc.subject.keywordAuthor | Gene transcriptional profile | - |
dc.subject.keywordAuthor | Protein-protein interaction network | - |
dc.subject.keywordAuthor | Gene-regulatory network | - |
dc.subject.keywordAuthor | CMap drug perturbation profiles | - |
dc.subject.keywordPlus | CHEMOKINE RECEPTOR CXCR4 | - |
dc.subject.keywordPlus | MAMMALIAN TARGET | - |
dc.subject.keywordPlus | IN-VITRO | - |
dc.subject.keywordPlus | AURORA-A | - |
dc.subject.keywordPlus | PROTEIN | - |
dc.subject.keywordPlus | CELLS | - |
dc.subject.keywordPlus | ACTIVATION | - |
dc.subject.keywordPlus | KINASE | - |
dc.subject.keywordPlus | DIFFERENTIATION | - |
dc.subject.keywordPlus | EXPRESSION | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.