Literature DB >> 22012310

Integration of diverse data sources for prediction of adverse drug events.

D R Abernethy1, J P F Bai, K Burkhart, H-G Xie, P Zhichkin.   

Abstract

The rapid evolution of large biological, pharmacological, and chemical databases has led to optimism that such data resources can be leveraged for prediction of drug action based on molecular descriptors of the drug. Challenges to realize this possibility include organization of each type of database in a manner that allows extraction of information across disparate data sources and the linkage of information across the biological, pharmacological, and chemical domains.

Mesh:

Substances:

Year:  2011        PMID: 22012310     DOI: 10.1038/clpt.2011.171

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  4 in total

1.  Of possible cheminformatics futures.

Authors:  Tudor I Oprea; Olivier Taboureau; Cristian G Bologa
Journal:  J Comput Aided Mol Des       Date:  2011-12-30       Impact factor: 3.686

2.  Translating New Science Into the Drug Review Process: The US FDA's Division of Applied Regulatory Science.

Authors:  Rodney Rouse; Naomi Kruhlak; James Weaver; Keith Burkhart; Vikram Patel; David G Strauss
Journal:  Ther Innov Regul Sci       Date:  2017-07-21       Impact factor: 1.778

Review 3.  Use of Biomedical Ontologies for Integration of Biological Knowledge for Learning and Prediction of Adverse Drug Reactions.

Authors:  Shadia Zaman; Sirarat Sarntivijai; Darrell R Abernethy
Journal:  Gene Regul Syst Bio       Date:  2017-03-15

4.  Target-Adverse Event Profiles to Augment Pharmacovigilance: A Pilot Study With Six New Molecular Entities.

Authors:  Peter Schotland; Rebecca Racz; David Jackson; Robert Levin; David G Strauss; Keith Burkhart
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-10-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.