Current strategies in assessment of nanotoxicity: alternatives to in vivo animal testing

HJ Huang, YH Lee, YH Hsu, CT Liao, YF Lin… - International journal of …, 2021 - mdpi.com
Millions of experimental animals are widely used in the assessment of toxicological or
biological effects of manufactured nanomaterials in medical technology. However, the …

Artificial intelligence for compound pharmacokinetics prediction

O Obrezanova - Current Opinion in Structural Biology, 2023 - Elsevier
Optimisation of compound pharmacokinetics (PK) is an integral part of drug discovery and
development. Animal in vivo PK data as well as human and animal in vitro systems are …

FP-ADMET: a compendium of fingerprint-based ADMET prediction models

V Venkatraman - Journal of cheminformatics, 2021 - Springer
Motivation The absorption, distribution, metabolism, excretion, and toxicity (ADMET) of drugs
plays a key role in determining which among the potential candidates are to be prioritized. In …

Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics

R Ota, F Yamashita - Journal of Controlled Release, 2022 - Elsevier
In this review, we describe the current status and challenges in applying machine-learning
techniques to the analysis and prediction of pharmacokinetic data. The theory of …

Computational predictions of nonclinical pharmacokinetics at the drug design stage

R Stoyanova, PM Katzberger… - Journal of Chemical …, 2023 - ACS Publications
Although computational predictions of pharmacokinetics (PK) are desirable at the drug
design stage, existing approaches are often limited by prediction accuracy and human …

HobPre: Accurate prediction of human oral bioavailability for small molecules

M Wei, X Zhang, X Pan, B Wang, C Ji, Y Qi… - Journal of …, 2022 - Springer
Human oral bioavailability (HOB) is a key factor in determining the fate of new drugs in
clinical trials. HOB is conventionally measured using expensive and time-consuming …

Recent Studies of Artificial Intelligence on In Silico Drug Absorption

TTV Tran, H Tayara, KT Chong - Journal of Chemical Information …, 2023 - ACS Publications
Absorption is an important area of research in pharmacochemistry and drug development,
because the drug has to be absorbed before any drug effects can occur. Furthermore, the …

A recent appraisal of artificial intelligence and in silico ADMET prediction in the early stages of drug discovery

A Kumar, SG Kini, E Rathi - Mini Reviews in Medicinal …, 2021 - ingentaconnect.com
In silico ADMET models have progressed significantly over the past~ 4 decades, but still, the
pharmaceutical industry is vexed by the late-stage toxicity failure of lead molecules. This …

Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web Tool for Triaging Compounds with Undesired …

M Rath, J Wellnitz, HJ Martin, C Melo-Filho… - Journal of Medicinal …, 2024 - ACS Publications
Computational models that predict pharmacokinetic properties are critical to deprioritize
drug candidates that emerge as hits in high-throughput screening campaigns. We collected …

Evaluating the use of graph neural networks and transfer learning for oral bioavailability prediction

SSS Ng, Y Lu - Journal of Chemical Information and Modeling, 2023 - ACS Publications
Oral bioavailability is a pharmacokinetic property that plays an important role in drug
discovery. Recently developed computational models involve the use of molecular …