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 …
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 …
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 …
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 …
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 …
design stage, existing approaches are often limited by prediction accuracy and human …
HobPre: Accurate prediction of human oral bioavailability for small molecules
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 …
clinical trials. HOB is conventionally measured using expensive and time-consuming …
Recent Studies of Artificial Intelligence on In Silico Drug Absorption
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 …
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
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 …
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 …
Computational models that predict pharmacokinetic properties are critical to deprioritize
drug candidates that emerge as hits in high-throughput screening campaigns. We collected …
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 …
discovery. Recently developed computational models involve the use of molecular …