Cell permeability beyond the rule of 5

P Matsson, BC Doak, B Over, J Kihlberg - Advanced drug delivery reviews, 2016 - Elsevier
Drug discovery for difficult targets that have large and flat binding sites is often better suited
to compounds beyond the “rule of 5”(bRo5). However, such compounds carry higher …

Machine learning in pharmacometrics: Opportunities and challenges

M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …

SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules

A Daina, O Michielin, V Zoete - Scientific reports, 2017 - nature.com
To be effective as a drug, a potent molecule must reach its target in the body in sufficient
concentration, and stay there in a bioactive form long enough for the expected biologic …

Screening of drug-transporter interactions in a 3D microfluidic renal proximal tubule on a chip

J Vriend, TTG Nieskens, MK Vormann… - The AAPS journal, 2018 - Springer
Drug-transporter interactions could impact renal drug clearance and should ideally be
detected in early stages of drug development to avoid toxicity-related withdrawals in later …

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer

S Zhang, Z Yan, Y Huang, L Liu, D He, W Wang… - …, 2022 - academic.oup.com
Motivation Accurate ADMET (an abbreviation for 'absorption, distribution, metabolism,
excretion and toxicity') predictions can efficiently screen out undesirable drug candidates in …

ADMET Evaluation in Drug Discovery. 13. Development of in Silico Prediction Models for P-Glycoprotein Substrates

D Li, L Chen, Y Li, S Tian, H Sun… - Molecular pharmaceutics, 2014 - ACS Publications
P-glycoprotein (P-gp) actively transports a wide variety of chemically diverse compounds out
of cells. It is highly associated with the ADMET properties of drugs and drug candidates and …

Ligand and structure-based classification models for prediction of P-glycoprotein inhibitors

F Klepsch, P Vasanthanathan… - Journal of chemical …, 2014 - ACS Publications
The ABC transporter P-glycoprotein (P-gp) actively transports a wide range of drugs and
toxins out of cells, and is therefore related to multidrug resistance and the ADME profile of …

Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools

L Tao, P Zhang, C Qin, SY Chen, C Zhang… - Advanced Drug Delivery …, 2015 - Elsevier
In-silico methods have been explored as potential tools for assessing ADME and ADME
regulatory properties particularly in early drug discovery stages. Machine learning methods …

Development of simplified in vitro P-glycoprotein substrate assay and in silico prediction models to evaluate transport potential of P-glycoprotein

R Ohashi, R Watanabe, T Esaki… - Molecular …, 2019 - ACS Publications
For efficient drug discovery and screening, it is necessary to simplify P-glycoprotein (P-gp)
substrate assays and to provide in silico models that predict the transport potential of P-gp …

PgpRules: a decision tree based prediction server for P-glycoprotein substrates and inhibitors

PH Wang, YS Tu, YJ Tseng - Bioinformatics, 2019 - academic.oup.com
Abstract Summary P-glycoprotein (P-gp) is a member of ABC transporter family that actively
pumps xenobiotics out of cells to protect organisms from toxic compounds. P-gp substrates …