Computational Tactics for Precision Cancer Network Biology
Network biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computation...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/23/22/14398 |
| _version_ | 1797465019918581760 |
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| author | Heewon Park Satoru Miyano |
| author_facet | Heewon Park Satoru Miyano |
| author_sort | Heewon Park |
| collection | DOAJ |
| description | Network biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computational tactics for gene regulatory network analysis, focused especially on personalized anti-cancer therapy. This paper covers three major topics: (1) cell line’s (or patient’s) cancer characteristics specific gene regulatory network estimation, which enables us to reveal molecular interplays under varying conditions of cancer characteristics of cell lines (or patient); (2) computational approaches to interpret the multitudinous and massive networks; (3) network-based application to uncover molecular mechanisms of cancer and related marker identification. We expect that this review will help readers understand personalized computational network biology that plays a significant role in precision cancer medicine. |
| first_indexed | 2024-03-09T18:15:34Z |
| format | Article |
| id | doaj.art-44988a81e5b348b08c0cdb589193444d |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-09T18:15:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-44988a81e5b348b08c0cdb589193444d2023-11-24T08:43:38ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-11-0123221439810.3390/ijms232214398Computational Tactics for Precision Cancer Network BiologyHeewon Park0Satoru Miyano1M&D Data Science Center, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, JapanM&D Data Science Center, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, JapanNetwork biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computational tactics for gene regulatory network analysis, focused especially on personalized anti-cancer therapy. This paper covers three major topics: (1) cell line’s (or patient’s) cancer characteristics specific gene regulatory network estimation, which enables us to reveal molecular interplays under varying conditions of cancer characteristics of cell lines (or patient); (2) computational approaches to interpret the multitudinous and massive networks; (3) network-based application to uncover molecular mechanisms of cancer and related marker identification. We expect that this review will help readers understand personalized computational network biology that plays a significant role in precision cancer medicine.https://www.mdpi.com/1422-0067/23/22/14398gene regulatory networkcomputational cancer biologyprecision medicineoxaliplatin and capecitabine (XELOX) |
| spellingShingle | Heewon Park Satoru Miyano Computational Tactics for Precision Cancer Network Biology International Journal of Molecular Sciences gene regulatory network computational cancer biology precision medicine oxaliplatin and capecitabine (XELOX) |
| title | Computational Tactics for Precision Cancer Network Biology |
| title_full | Computational Tactics for Precision Cancer Network Biology |
| title_fullStr | Computational Tactics for Precision Cancer Network Biology |
| title_full_unstemmed | Computational Tactics for Precision Cancer Network Biology |
| title_short | Computational Tactics for Precision Cancer Network Biology |
| title_sort | computational tactics for precision cancer network biology |
| topic | gene regulatory network computational cancer biology precision medicine oxaliplatin and capecitabine (XELOX) |
| url | https://www.mdpi.com/1422-0067/23/22/14398 |
| work_keys_str_mv | AT heewonpark computationaltacticsforprecisioncancernetworkbiology AT satorumiyano computationaltacticsforprecisioncancernetworkbiology |