Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off-Target Effects from Chemical Structure

ChemMedChem ◽  
2007 ◽  
Vol 2 (6) ◽  
pp. 861-873 ◽  
Author(s):  
Andreas Bender ◽  
Josef Scheiber ◽  
Meir Glick ◽  
John W. Davies ◽  
Kamal Azzaoui ◽  
...  
Keyword(s):  
Adverse Drug Reactions ◽  
Chemical Structure ◽  
Drug Reactions ◽  
Target Effects

Cover Picture: Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off-Target Effects from Chemical Structure (ChemMedChem 6/2007)

ChemMedChem ◽  
2007 ◽  
Vol 2 (6) ◽  
pp. 733-733
Author(s):  
Andreas Bender ◽  
Josef Scheiber ◽  
Meir Glick ◽  
John W. Davies ◽  
Kamal Azzaoui ◽  
...  
Keyword(s):  
Adverse Drug Reactions ◽  
Chemical Structure ◽  
Drug Reactions ◽  
Picture Analysis ◽  
Target Effects

Translation of off-target effects: prediction of ADRs by integrated experimental and computational approach

2014 ◽  
Vol 3 (6) ◽  
pp. 433-444 ◽  
Author(s):  
Laszlo Urban ◽  
Mateusz Maciejewski ◽  
Eugen Lounkine ◽  
Steven Whitebread ◽  
Jeremy L. Jenkins ◽  
...  
Keyword(s):  
Drug Development ◽  
Adverse Drug Reactions ◽  
Computational Approach ◽  
Clinical Use ◽  
Drug Reactions ◽  
Extended Course ◽  
Target Effects

Adverse drug reactions (ADRs) are associated with most drugs, often discovered late in drug development and sometimes only during extended course of clinical use.

scholarly journals Efficacy of computational predictions of the functional effect of idiosyncratic pharmacogenetic variants

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11774
Author(s):  
Hannah McConnell ◽  
T. Daniel Andrews ◽  
Matt A. Field
Keyword(s):  
Adverse Drug Reactions ◽  
Pharmacological Action ◽  
Underlying Mechanism ◽  
Sequence Conservation ◽  
Target Type ◽  
Type B ◽  
Drug Reactions ◽  
Target Drug ◽  
Functional Inference ◽  
Target Effects

Background Pharmacogenetic variation is important to drug responses through diverse and complex mechanisms. Predictions of the functional impact of missense pharmacogenetic variants primarily rely on the degree of sequence conservation between species as a primary discriminator. However, idiosyncratic or off-target drug-variant interactions sometimes involve effects that are peripheral or accessory to the central systems in which a gene functions. Given the importance of sequence conservation to functional prediction tools—these idiosyncratic pharmacogenetic variants may violate the assumptions of predictive software commonly used to infer their effect. Methods Here we exhaustively assess the effectiveness of eleven missense mutation functional inference tools on all known pharmacogenetic missense variants contained in the Pharmacogenomics Knowledgebase (PharmGKB) repository. We categorize PharmGKB entries into sub-classes to catalog likely off-target interactions, such that we may compare predictions across different variant annotations. Results As previously demonstrated, functional inference tools perform variably across the complete set of PharmGKB variants, with large numbers of variants incorrectly classified as ‘benign’. However, we find substantial differences amongst PharmGKB variant sub-classes, particularly in variants known to cause off-target, type B adverse drug reactions, that are largely unrelated to the main pharmacological action of the drug. Specifically, variants associated with off-target effects (hence referred to as off-target variants) were most often incorrectly classified as ‘benign’. These results highlight the importance of understanding the underlying mechanism of pharmacogenetic variants and how variants associated with off-target effects will ultimately require new predictive algorithms. Conclusion In this work we demonstrate that functional inference tools perform poorly on pharmacogenetic variants, particularly on subsets enriched for variants causing off-target, type B adverse drug reactions. We describe how to identify variants associated with off-target effects within PharmGKB in order to generate a training set of variants that is needed to develop new algorithms specifically for this class of variant. Development of such tools will lead to more accurate functional predictions and pave the way for the increased wide-spread adoption of pharmacogenetics in clinical practice.

Neuropsychiatric Adverse Drug Reactions in General Practice

2005 ◽  
Vol 38 (01) ◽  
Author(s):  
L Galatti ◽  
S Ettore Giustini ◽  
A Sessa ◽  
G Polimeni ◽  
F Salvo ◽  
...  
Keyword(s):  
General Practice ◽  
Adverse Drug Reactions ◽  
Drug Reactions
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