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.

View this resource Bookmark this resource

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.

View this resource Bookmark this resource

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.

View this resource Bookmark this resource

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.

View this resource Bookmark this resource

The retrospective identification of the drug targets that underlie an observed phenotypic response is termed Target Deconvolution. Target Deconvolution can be achieved by numerous methods including; Affinity Chromatography, Expression-Cloning, Protein Microarray, ‘reverse transfected’ Cell Microarray, and Biochemical Suppression

View this resource Bookmark this resource

Exploring The Structure-Activity Relationship (SAR) of Drugs

Published by AZO LIFE SCIENCE

In Silico ToolLead OptimisationStructure-Activity RelationshipTarget Validation

The Structure-Activity Relationship (SAR) aids in understanding various aspects of drug discovery, from screening drug candidates to optimizing their properties. The effective biological activity is contributed by the various geometric and electrostatic interactions. This article introduce in a briefly way the diferent uses of The Structure-Activity Relationship (SAR) in drug discovery.

View this resource Bookmark this resource

Functional Genomics Lab

Published by NCATS

NCATSRNAi ScreeningTarget Identification

NCATS’ Functional Genomics Lab is designed to develop and improve RNAi Screening approaches to better understand gene function and identify treatment targets. Gene silencing through RNAi has emerged as a powerful tool for understanding gene function. Over the past several years, high-throughput RNAi screens have illuminated a wide variety of biological processes, ranging from genes that affect the activity of therapeutic agents to novel components of signaling pathways.

View this resource Bookmark this resource