Literature DB >> 21490594

Pharmacological mechanism-based drug safety assessment and prediction.

D R Abernethy1, J Woodcock, L J Lesko.   

Abstract

Advances in cheminformatics, bioinformatics, and pharmacology in the context of biological systems are now at a point that these tools can be applied to mechanism-based drug safety assessment and prediction. The development of such predictive tools at the US Food and Drug Administration (FDA) will complement ongoing efforts in drug safety that are focused on spontaneous adverse event reporting and active surveillance to monitor drug safety. This effort will require the active collaboration of scientists in the pharmaceutical industry, academe, and the National Institutes of Health, as well as those at the FDA, to reach its full potential. Here, we describe the approaches and goals for the mechanism-based drug safety assessment and prediction program.

Mesh:

Year:  2011        PMID: 21490594     DOI: 10.1038/clpt.2011.55

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


  15 in total

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2.  Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury.

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Journal:  J Chem Inf Model       Date:  2017-04-10       Impact factor: 4.956

Review 3.  Reducing the toxicity of cancer therapy: recognizing needs, taking action.

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Journal:  Nat Rev Clin Oncol       Date:  2012-07-03       Impact factor: 66.675

4.  Leveraging Human Genetics to Identify Safety Signals Prior to Drug Marketing Approval and Clinical Use.

Authors:  Rebecca N Jerome; Meghan Morrison Joly; Nan Kennedy; Jana K Shirey-Rice; Dan M Roden; Gordon R Bernard; Kenneth J Holroyd; Joshua C Denny; Jill M Pulley
Journal:  Drug Saf       Date:  2020-06       Impact factor: 5.606

5.  Identification of structural alerts for liver and kidney toxicity using repeated dose toxicity data.

Authors:  Fabiola Pizzo; Domenico Gadaleta; Anna Lombardo; Orazio Nicolotti; Emilio Benfenati
Journal:  Chem Cent J       Date:  2015-11-05       Impact factor: 4.215

6.  Predicting the Drug Safety for Traditional Chinese Medicine through a Comparative Analysis of Withdrawn Drugs Using Pharmacological Network.

Authors:  Mengzhu Xue; Shoude Zhang; Chaoqian Cai; Xiaojuan Yu; Lei Shan; Xiaofeng Liu; Weidong Zhang; Honglin Li
Journal:  Evid Based Complement Alternat Med       Date:  2013-04-29       Impact factor: 2.629

Review 7.  Drug safety assessment in clinical trials: methodological challenges and opportunities.

Authors:  Sonal Singh; Yoon K Loke
Journal:  Trials       Date:  2012-08-20       Impact factor: 2.279

8.  A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages.

Authors:  Ying Yu; James C Fuscoe; Chen Zhao; Chao Guo; Meiwen Jia; Tao Qing; Desmond I Bannon; Lee Lancashire; Wenjun Bao; Tingting Du; Heng Luo; Zhenqiang Su; Wendell D Jones; Carrie L Moland; William S Branham; Feng Qian; Baitang Ning; Yan Li; Huixiao Hong; Lei Guo; Nan Mei; Tieliu Shi; Kevin Y Wang; Russell D Wolfinger; Yuri Nikolsky; Stephen J Walker; Penelope Duerksen-Hughes; Christopher E Mason; Weida Tong; Jean Thierry-Mieg; Danielle Thierry-Mieg; Leming Shi; Charles Wang
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

9.  OAE: The Ontology of Adverse Events.

Authors:  Yongqun He; Sirarat Sarntivijai; Yu Lin; Zuoshuang Xiang; Abra Guo; Shelley Zhang; Desikan Jagannathan; Luca Toldo; Cui Tao; Barry Smith
Journal:  J Biomed Semantics       Date:  2014-07-05

10.  A curated and standardized adverse drug event resource to accelerate drug safety research.

Authors:  Juan M Banda; Lee Evans; Rami S Vanguri; Nicholas P Tatonetti; Patrick B Ryan; Nigam H Shah
Journal:  Sci Data       Date:  2016-05-10       Impact factor: 6.444

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