The virtual assay software for human in silico drug trials to augment drug cardiac testing

被引：14

作者：

Passini, Elisa ^{[1
]}

Zhou, Xin ^{[1
]}

Trovato, Cristian ^{[1
]}

Britton, Oliver J. ^{[1
]}

Bueno-Orovio, Alfonso ^{[1
]}

Rodriguez, Blanca ^{[1
]}

机构：

[1] Univ Oxford, Dept Comp Sci, BHF Ctr Res Excellence, Oxford, England

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2021年 / 52卷 / 52期

基金：

欧盟地平线“2020”; 英国工程与自然科学研究理事会; 英国国家替代、减少和改良动物研究中心; 英国惠康基金;

关键词：

In silico drug trials; Virtual assay; Human cardiac computer models; Drug safety and efficacy testing; Arrhythmia; TORSADES-DE-POINTES; MODELS; VARIABILITY; ELECTROPHYSIOLOGY; POPULATION;

D O I：

10.1016/j.jocs.2020.101202

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Prediction of drug effects on the heart still represents a challenge in drug development, given potential adverse outcomes. Computer modelling and simulations of the human heart offer a powerful technology to augment existing animal and clinical methodologies. Here we describe the translation process that led to the development and uptake of Virtual Assay, a user-friendly software to perform in silico drug trials in population of human cardiac models. Through this work, we contributed to the uptake of in silico modelling and simulations in industry and regulatory paradigms, and demonstrated accurate and mechanistic predictions of drug-induced cardiac pro-arrhythmic toxicity.

引用

页数：8

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