2009Current Topics in Medicinal ChemistryRequires access

ADME Optimization and Toxicity Assessment in Early- and Late-Phase Drug Discovery

Gary W. Caldwell, Zhengyin Yan, Weimin Tang, Malini Dasgupta, Becki Hasting

Open publisher page 86 citations

Abstract

Integrating physicochemical, drug metabolism, pharmacokinetics, ADME, and toxicity assays into drug discovery in order to reduce the attrition rates in clinical development is reviewed. The review is organized around three main decision points used in discovery including hit generation, lead optimization and final candidate selection stages. The preclinical strategies used at each decision point are discussed from a drug discovery perspective. Typically, preclinical data produced at these stages use lower throughput assays, smaller amounts of compounds and operate within a timeframe that is consistent with the iterative cycle of most drug discovery research projects. Understanding the false positive rates of these drug discovery preclinical assays is a must in reducing attrition rates in development.

About this research paper

What this paper is about

Integrating physicochemical, drug metabolism, pharmacokinetics, ADME, and toxicity assays into drug discovery in order to reduce the attrition rates in clinical development is reviewed. The review is organized around three main decision points used in discovery including hit generation, lead optimization and final candidate selection stages. The preclinical strategies used at each decision point are discussed from a drug discovery perspective. Typically, preclinical data produced at these stages use lower throughput assays, smaller amounts of compounds and operate within a timeframe that is consistent with the iterative cycle of most drug discovery research projects. Understanding the false positive rates of these drug discovery preclinical assays is a must in reducing attrition rates in development.

Why it matters

OpenAlex reports 86 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Integrating physicochemical, drug metabolism, pharmacokinetics, ADME, and toxicity assays into drug discovery in order to reduce the attrition rates in clinical development is reviewed. The review is organized around three main decision points used in discovery including hit generation, lead optimization and final candidate selection stages. The preclinical strategies used at each decision point are discussed from a drug discovery perspective. Typically, preclinical data produced at these stages use lower throughput assays, smaller amounts of compounds and operate within a timeframe that is consistent with the iterative cycle of most drug discovery research projects. Understanding the false positive rates of these drug discovery preclinical assays is a must in reducing attrition rates in development.

Key concepts: ADME, Drug discovery, Drug development, Drug, Pharmacology, Pharmacokinetics, Medicine, Computational biology

Related papers

Back to paper searchBrowse research topicsOriginal source
ADME Optimization and Toxicity Assessment in Early- and Late-Phase Drug Discovery — Research Paper | ScholarLens