» Articles » PMID: 12769713

The Role of Absorption, Distribution, Metabolism, Excretion and Toxicity in Drug Discovery

Overview
Specialty Chemistry
Date 2003 May 29
PMID 12769713
Citations 57
Authors
Affiliations
Soon will be listed here.
Abstract

Major reasons preventing many early candidates reaching market are the inappropriate ADME (absorption, distribution, metabolism and excretion) properties and drug-induced toxicity. From a commercial perspective, it is desirable that poorly behaved compounds are removed early in the discovery phase rather than during the more costly drug development phases. As a consequence, over the past decade, ADME and toxicity (ADMET) screening studies have been incorporated earlier in the drug discovery phase. The intent of this review is to introduce the desirable attributes of a new chemical entity (NCE) to the medicinal chemist from an ADMET perspective. Fundamental concepts, key tools, reagents and experimental approaches used by the drug metabolism scientist to aid a modern project team in predicting human pharmacokinetics and assessing the "drug-like" molecule are discussed.

Citing Articles

Prodigiosin Demonstrates Promising Antiviral Activity Against Dengue Virus and Zika Virus in In-silico Study.

Rahman T, Bappi M, Hossain T Anal Sci Adv. 2024; 5(11-12):e202400039.

PMID: 39660345 PMC: 11627182. DOI: 10.1002/ansa.202400039.


Small Molecules Targeting Mitochondria: A Mechanistic Approach to Combating Doxorubicin-Induced Cardiotoxicity.

Pal C Cardiovasc Toxicol. 2024; 25(2):216-247.

PMID: 39495464 DOI: 10.1007/s12012-024-09941-7.


Computational identification of -derived phytochemicals as potential inhibitors of nonstructural protein 1 (NSP1) in dengue virus serotype-2.

Hossain M, Hasnat S, Akter S, Mim M, Tahcin A, Hoque M Front Pharmacol. 2024; 15:1465827.

PMID: 39474614 PMC: 11518830. DOI: 10.3389/fphar.2024.1465827.


The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges.

Chakraborty C, Bhattacharya M, Lee S, Wen Z, Lo Y Mol Ther Nucleic Acids. 2024; 35(3):102295.

PMID: 39257717 PMC: 11386122. DOI: 10.1016/j.omtn.2024.102295.


In silico analysis of potential inhibitors for breast cancer targeting 17beta-hydroxysteroid dehydrogenase type 1 (17beta-HSD1) catalyses.

Islam M, Tayyeb J, Paul H, Islam M, Oduselu G, Bayil I J Cell Mol Med. 2024; 28(15):e18584.

PMID: 39135338 PMC: 11319393. DOI: 10.1111/jcmm.18584.