Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship

M Staszak, K Staszak, K Wieszczycka… - Wiley …, 2022 - Wiley Online Library
The paper presents a comprehensive overview of the use of artificial intelligence (AI)
systems in drug design. Neural networks, which are one of the systems employed in AI, are …

Computational investigations of hERG channel blockers: New insights and current predictive models

BO Villoutreix, O Taboureau - Advanced drug delivery reviews, 2015 - Elsevier
Identification of potential human Ether-a-go-go Related-Gene (hERG) potassium channel
blockers is an essential part of the drug development and drug safety process in …

Computational determination of hERG-related cardiotoxicity of drug candidates

HM Lee, MS Yu, SR Kazmi, SY Oh, KH Rhee… - BMC …, 2019 - Springer
Background Drug candidates often cause an unwanted blockage of the potassium ion
channel of the human ether-a-go-go-related gene (hERG). The blockage leads to long QT …

DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity

JY Ryu, MY Lee, JH Lee, BH Lee, KS Oh - Bioinformatics, 2020 - academic.oup.com
Motivation Blockade of the human ether-à-go-go-related gene (hERG) channel by small
compounds causes a prolonged QT interval that can lead to severe cardiotoxicity and is a …

ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage

S Wang, Y Li, J Wang, L Chen, L Zhang… - Molecular …, 2012 - ACS Publications
Inhibition of the human ether-a-go-go related gene (hERG) potassium channel may result in
QT interval prolongation, which causes severe cardiac side effects and is a major problem in …

Tuning HERG out: antitarget QSAR models for drug development

RC Braga, VM Alves, M FB Silva… - Current topics in …, 2014 - ingentaconnect.com
Several non-cardiovascular drugs have been withdrawn from the market due to their
inhibition of hERG K+ channels that can potentially lead to severe heart arrhythmia and …

Structure–activity relationships, ligand efficiency, and lipophilic efficiency profiles of benzophenone-type inhibitors of the multidrug transporter P-glycoprotein

I Jabeen, K Pleban, U Rinner, P Chiba… - Journal of medicinal …, 2012 - ACS Publications
The drug efflux pump P-glycoprotein (P-gp) has been shown to promote multidrug
resistance (MDR) in tumors as well as to influence ADME properties of drug candidates …

Prospective validation of a comprehensive in silico hERG model and its applications to commercial compound and drug databases

MR Doddareddy, EC Klaasse, Shagufta… - …, 2010 - Wiley Online Library
Ligand‐based in silico hERG models were generated for 2 644 compounds using linear
discriminant analysis (LDA) and support vector machines (SVM). As a result, the dataset …

The challenges involved in modeling toxicity data in silico: a review

MP Gleeson, S Modi, A Bender… - Current …, 2012 - ingentaconnect.com
The percentage of failures in late pharmaceutical development due to toxicity has increased
dramatically over the last decade or so, resulting in increased demand for new methods to …

In Silico Prediction of hERG Inhibition

Y Jing, A Easter, D Peters, N Kim… - Future medicinal …, 2015 - Taylor & Francis
The voltage-gated potassium channel encoded by hERG carries a delayed rectifying
potassium current (IKr) underlying repolarization of the cardiac action potential …