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DC Field | Value | Language |
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dc.contributor.author | Shao, Chenghui | - |
dc.contributor.author | Xu, Shuangshuang | - |
dc.contributor.author | Song, Yang | - |
dc.contributor.author | Zhu, Dong | - |
dc.date.accessioned | 2022-11-17T10:10:39Z | - |
dc.date.available | 2022-11-17T10:10:39Z | - |
dc.date.issued | 2017-09-20 | - |
dc.identifier.citation | Shao, C., Xu, S., Song, Y., & Zhu, D. (2017). Screening of antitumor polypeptide drug and enhanced CT imaging based on drug target analysis. Pakistan Journal of Pharmaceutical Sciences, 30. | en_US |
dc.identifier.issn | 1011-601X | - |
dc.identifier.uri | http://142.54.178.187:9060/xmlui/handle/123456789/14049 | - |
dc.description.abstract | Molecular targeted antitumor drugs is a major progress in recent years, these drugs usually target specific molecules to tumor cell signaling pathways, reduce toxicity, and can achieve individualized treatment. In this study, we screened three polypeptide proteins by yeast two hybrid systems, which could inhibit tumor growth obviously. The results of this study are expected to further develop new antitumor drugs. Moreover, by using contrast-enhanced computed tomography (CECT) imaging, this study proposes an algorithm for the computer-aided diagnosis (CAD) and classification of adrenal tumors. The experimental results demonstrate an excellent classification performance of this algorithm. Therefore, the method proposed in this paper may accurately locate and qualitatively diagnose the adrenal tumor in an effective manner, thereby providing important references for treatment. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Karachi:Pakistan Journal of Pharmaceutical Sciences, university of Karachi. | en_US |
dc.subject | Antineoplastic drugs | en_US |
dc.subject | oncology | en_US |
dc.subject | drug target | en_US |
dc.subject | yeast two hybrid. | en_US |
dc.title | Screening of antitumor polypeptide drug and enhanced CT imaging based on drug target analysis | en_US |
dc.type | Article | en_US |
Appears in Collections: | No.5(Special), September, 2017 |
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9-SP-5874.htm | 192 B | HTML | View/Open |
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