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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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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MDC Connects: A Guide to Drug Discovery

Published by Medicines Discovery Catapult

Drug DiscoverySmall MoleculesTarget Identification

This guideline is a summary presentation from the Medicines Discovery Catapult (MDC) webinars. The aim was to create a resource of modern drug discovery knowledge to support small companies who are developing their own medicines. The guideline is focused on preclinical research with an emphasis on small molecules in the following topics:
• What makes, and how to identify, a good target
• Methods to identify the chemical compound which would become the drug
• How to optimise that drug
• How to test it works in models of disease
• And how to demonstrate that it would be safe to dose in humans

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Genetic-Driven Druggable Target Identification and Validation

Published by Trends Genet.

Expression Quantitative Trait LocusGenetic ToolboxGWAS AssociationTarget Identification

This article reviews the opportunities and challenges, and infer criteria for the optimal use of genetic findings in the drug discovery pipeline. Choosing the right biological target is the critical primary decision for the development of new drugs. Systematic genetic association testing of both human diseases and quantitative traits, along with resultant findings of coincident associations between them, is becoming a powerful approach to infer drug targetable candidates and generate in vitro tests to identify compounds that can modulate them therapeutically

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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.

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