Please use this identifier to cite or link to this item: https://doi.org/10.2174/157488612803251351
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dc.titleIn silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical data
dc.contributor.authorLiu, X.
dc.contributor.authorShi, Z.
dc.contributor.authorXue, Y.
dc.contributor.authorLi, Z.R.
dc.contributor.authorYang, S.Y.
dc.contributor.authorWei, Y.Q.
dc.contributor.authorChen, Y.Z.
dc.date.accessioned2014-10-29T01:54:02Z
dc.date.available2014-10-29T01:54:02Z
dc.date.issued2012
dc.identifier.citationLiu, X., Shi, Z., Xue, Y., Li, Z.R., Yang, S.Y., Wei, Y.Q., Chen, Y.Z. (2012). In silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical data. Current Drug Safety 7 (3) : 225-237. ScholarBank@NUS Repository. https://doi.org/10.2174/157488612803251351
dc.identifier.issn15748863
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/106033
dc.description.abstractDrug adverse effects (ADEs) and toxicities have been extensively studied from chemical structure, genetic, biological systems and clinical perspectives. The rapid accumulation of chemical, biological and clinical data are highly useful for characterizing and predicting ADEs, and have enabled increasing exploration of computational methods as low cost tools for predicting various ADEs and toxicities. This article reviews the strategies, current progresses, underlying difficulties and future prospects in using computational methods for predicting ADEs and toxicities. © 2012 Bentham Science Publishers.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2174/157488612803251351
dc.sourceScopus
dc.subjectAdverse drug effects
dc.subjectAdverse drug reaction
dc.subjectDrug discovery
dc.subjectDrug testing
dc.subjectPharmaceutical
dc.subjectRisk assessment
dc.subjectSide effect
dc.subjectToxicity
dc.subjectToxicology
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.description.doi10.2174/157488612803251351
dc.description.sourcetitleCurrent Drug Safety
dc.description.volume7
dc.description.issue3
dc.description.page225-237
dc.identifier.isiut000218294800008
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