Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

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 potent...

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Bibliographic Details
Main Authors: Zhang, Rui, Cairelli, Michael J, Fiszman, Marcelo, Kilicoglu, Halil, Rindflesch, Thomas C, Pakhomov, Serguei V, Melton, Genevieve B
Format: Online
Language:English
Published: Libertas Academica 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216049/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216049/

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