Expression quantitative trait loci: present and future

Published by Philos Trans R Soc Lond B Biol Sci.

eQTLTarget ValidationTool

One of the most prominent directions has been the extensive set of studies on expression quantitative trait loci (eQTLs), namely, the discovery of genetic variants that explain variation in gene expression levels. Such studies have offered promise not just for the characterization of functional sequence variation but also for the understanding of basic processes of gene regulation and interpretation of genome-wide association studies. In this review, we discuss some of the key directions of eQTL research and its implications.

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This review will look at key preclinical stages of the drug discovery process, from initial target identification and validation, through assay development, high throughput screening, Hit Identification, Lead Optimization and finally the selection of a candidate molecule for clinical development.

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On Exploring Structure Activity Relationships

Published by Methods Mol Biol.

In Silico ToolSAR Modeling Method

The goal of this resource is to highlight the different type of SAR Modeling Methods, and specifically, how they support the task of exploring chemical space to elucidate and optimize structure-activity relationships in a drug discovery setting. In addition to considering modeling algorithms, It will also briefly discuss the use of databases as a source of SAR data and how they can be used to inform and enhance the exploration of SAR trends.

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Estimating human ADME properties, pharmacokinetic parameters and likely clinical dose in drug discovery

Published by Expert Opinion on Drug Discovery

ADMEDose EstimationLead OptimisationPharmacokineticsPK or PDTarget Validation

The aim of this article is to provide a framework to facilitate apposite human PK and dose predictions as a continuum during drug discovery. Firstly, for early Dose Estimation to guide compound design, accelerate decision-making and focus strategy, a simple PK model is proposed based on achieving and maintaining average steady-state concentrations (Css,av) related to a measure of efficacious concentration. A toolbox of methods for the prediction of PK parameters is provided with consideration of the appropriate and effective use. Finally, advances in the understanding of compound properties and TPP will inform model selection for dose projection.

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Open access In Silico Tools to predict the ADMET profiling of drug candidates

Published by Expert Opinion on Drug Discovery

Drug DiscoveryIn Silico ToolLead OptimisationTarget Identification

This review meticulously encompasses the fundamental functions of open access in silico prediction tools (webservers and standalone software) and advocates their use in drug discovery research for the Safety and reliability of any candidate-drug. This review also aims to help support new researchers in the field of drug design.

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analysis of the attrition of drug candidates from four major pharmaceutical companies

Published by Macmillan Publishers Limited

Drug DiscoverySafety IssueSmall Molecule

This paper describes the compilation and analysis of combined data on the attrition of drug candidates from AstraZeneca, Eli Lilly and Company, GlaxoSmithKline and Pfizer. The analysis reaffirms that control of physicochemical properties during compound optimization is beneficial in identifying compounds of candidate drug quality and indicates for the first time a link between the physicochemical properties of compounds and clinical failure due to Safety Issues.

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