Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs.
Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs.
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DOI：
10.4137/cin.s13889
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发表时间：
2014
影响因子：
2
通讯作者：
Melton GB
中科院分区：
文献类型：
--
作者：
Zhang R;Cairelli MJ;Fiszman M;Kilicoglu H;Rindflesch TC;Pakhomov SV;Melton GB
In this study, we report on the performance of an automated approach to discovery of potential prostate cancer drugs from the biomedical literature. We used the semantic relationships in SemMedDB, a database of structured knowledge extracted from all MEDLINE citations using SemRep, to extract potential relationships using knowledge of cancer drugs pathways. Two cancer drugs pathway schemas were constructed using these relationships extracted from SemMedDB. Through both pathway schemas, we found drugs already used for prostate cancer therapy and drugs not currently listed as the prostate cancer medications. Our study demonstrates that the appropriate linking of relevant structured semantic relationships stored in SemMedDB can support the discovery of potential prostate cancer drugs.
