Handbook of Computational Chemistry 2016
DOI: 10.1007/978-94-007-6169-8_59-1
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Predicting ADME Properties of Chemicals

Abstract: Since many drug development projects fail during clinical trials due to poor ADME properties, it is a wise practice to introduce ADME tests at the early stage of drug discovery. Various experimental and computational methods have been developed to obtain ADME properties in an economical manner in terms of time and cost. As in vitro and in vivo experimental data on ADME have accumulated, the accuracy of in silico models in ADME increases and thus, many in silico models are now widely used in drug discovery. Bec… Show more

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Cited by 16 publications
(7 citation statements)
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References 102 publications
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“…ADME properties of drugs determine their eventual fate in the body (Shin et al, 2016 ). Drugs for oral administration should be well absorbed in the GIT for optimal pharmacokinetics.…”
Section: Discussionmentioning
confidence: 99%
“…ADME properties of drugs determine their eventual fate in the body (Shin et al, 2016 ). Drugs for oral administration should be well absorbed in the GIT for optimal pharmacokinetics.…”
Section: Discussionmentioning
confidence: 99%
“…ADME data is crucial in drug development project whether it is determined by in vitro, in vivo or computational approaches because many drug development project failed during clinical trials due to poor ADME data [67]. Computational analysis of ADME profile of drug candidates is very fast and cost effective compare to other methods.…”
Section: Discussionmentioning
confidence: 99%
“…The permeability of the gut-blood barrier is predicted by the Caco-2 parameter. It is a non-active transport evaluation used in blood absorption assay and is expressed in nm/s 24 . This parameter helps to identify and evaluate the approximate passage of substances through the gut wall.…”
Section: Molecular and Principal Descriptors Of The Ligandmentioning
confidence: 99%