Oral delivery of anticancer drugs: challenges and opportunities

K Thanki, RP Gangwal, AT Sangamwar… - Journal of controlled …, 2013 - Elsevier
The present report focuses on the various aspects of oral delivery of anticancer drugs. The
significance of oral delivery in cancer therapeutics has been highlighted which principally …

In silico ADME-Tox modeling: progress and prospects

S Alqahtani - Expert opinion on drug metabolism & toxicology, 2017 - Taylor & Francis
Introduction: Although significant progress has been made in high-throughput screening of
absorption, distribution, metabolism and excretion, and toxicity (ADME-Tox) properties in …

An intuitive approach for predicting potential human health risk with the Tox21 10k library

NS Sipes, JF Wambaugh, R Pearce… - … science & technology, 2017 - ACS Publications
In vitro–in vivo extrapolation (IVIVE) analyses translating high-throughput screening (HTS)
data to human relevance have been limited. This study represents the first report applying …

Predicting epitopes for vaccine development using bioinformatics tools

V Yurina, OR Adianingsih - Therapeutic advances in …, 2022 - journals.sagepub.com
Epitope-based DNA vaccine development is one application of bioinformatics or in silico
studies, that is, computational methods, including mathematical, chemical, and biological …

Establishing virtual bioequivalence and clinically relevant specifications using in vitro biorelevant dissolution testing and physiologically-based population …

I Loisios-Konstantinidis, R Cristofoletti, N Fotaki… - European Journal of …, 2020 - Elsevier
Background Physiologically-based population pharmacokinetic modeling (popPBPK)
coupled with in vitro biopharmaceutics tools such as biorelevant dissolution testing can …

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 …

Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine

C Hartmanshenn, M Scherholz… - … of pharmacokinetics and …, 2016 - Springer
Personalized medicine strives to deliver the 'right drug at the right dose'by considering inter-
person variability, one of the causes for therapeutic failure in specialized populations of …

Utility of models of the gastrointestinal tract for assessment of the digestion and absorption of engineered nanomaterials released from food matrices

DE Lefebvre, K Venema, L Gombau, LG Valerio Jr… - …, 2015 - Taylor & Francis
Engineered metal/mineral, lipid and biochemical macromolecule nanomaterials (NMs) have
potential applications in food. Methodologies for the assessment of NM digestion and …

Prediction of oral bioavailability in rats: Transferring insights from in vitro correlations to (deep) machine learning models using in silico model outputs and chemical …

S Schneckener, S Grimbs, J Hey, S Menz… - Journal of chemical …, 2019 - ACS Publications
Oral administration of drug products is a strict requirement in many medical indications.
Therefore, bioavailability prediction models are of high importance for prioritization of …

Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approaches

MT Kim, A Sedykh, SK Chakravarti, RD Saiakhov… - Pharmaceutical …, 2014 - Springer
Purpose Oral bioavailability (% F) is a key factor that determines the fate of a new drug in
clinical trials. Traditionally,% F is measured using costly and time-consuming experimental …