Evaluating Confidence in Toxicity Assessments Based on Experimental Data and In Silico Predictions [0.03%]
基于实验数据和计算预测的毒性评估信心评价
Candice Johnson,Lennart T Anger,Romualdo Benigni et al.
Candice Johnson et al.
Understanding the reliability and relevance of a toxicological assessment is important for gauging the overall confidence and communicating the degree of uncertainty related to it. The process involved in assessing reliability and relevance...
In Silico Approaches In Carcinogenicity Hazard Assessment: Current Status and Future Needs [0.03%]
计算毒理学在致癌性危害评估中的现状和未来展望
Raymond R Tice,Arianna Bassan,Alexander Amberg et al.
Raymond R Tice et al.
Historically, identifying carcinogens has relied primarily on tumor studies in rodents, which require enormous resources in both money and time. In silico models have been developed for predicting rodent carcinogens but have not yet found g...
In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity [0.03%]
器官毒性危害评估中的计算机模拟方法现状及未来预测肝毒性的需求
Arianna Bassan,Vinicius M Alves,Alexander Amberg et al.
Arianna Bassan et al.
Hepatotoxicity is one of the most frequently observed adverse effects resulting from exposure to a xenobiotic. For example, in pharmaceutical research and development it is one of the major reasons for drug withdrawals, clinical failures, a...
Grace Patlewicz
Grace Patlewicz
A matter of trust: Learning lessons about causality will make qAOPs credible [0.03%]
一份关于信任的问题：学习因果关系的经验教训会使qAOPs可信
Nicoleta Spînu,Mark T D Cronin,Judith C Madden et al.
Nicoleta Spînu et al.
Toxicology in the 21st Century has seen a shift from chemical risk assessment based on traditional animal tests, identifying apical endpoints and doses that are "safe", to the prospect of Next Generation Risk Assessment based on non-animal ...
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network [0.03%]
基于简化的发育神经毒性不良结局路径网络的毒理学概率模型研究
Nicoleta Spînu,Mark T D Cronin,Junpeng Lao et al.
Nicoleta Spînu et al.
In a century where toxicology and chemical risk assessment are embracing alternative methods to animal testing, there is an opportunity to understand the causal factors of neurodevelopmental disorders such as learning and memory disabilitie...
Towards a qAOP framework for predictive toxicology - Linking data to decisions [0.03%]
迈向用于预测毒理学的QAOP框架-链接数据与决策
Alicia Paini,Ivana Campia,Mark T D Cronin et al.
Alicia Paini et al.
The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels and deriving from a range of methodological approaches including in sil...
Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity [0.03%]
整合公开数据筛选有毒物质控制法下的化学物质优先评估对象的概念验证案例研究：基于遗传毒性和致癌性的方法学探讨
Grace Patlewicz,Jeffry L Dean,Catherine F Gibbons et al.
Grace Patlewicz et al.
The Toxic Substances Control Act (TSCA) became law in the U.S. in 1976 and was amended in 2016. The amended law requires the U.S. EPA to perform risk-based evaluations of existing chemicals. Here, we developed a tiered approach to screen po...
ALOHA: Aggregated local extrema splines for high-throughput dose-response analysis [0.03%]
基于剂量响应分析的 aggregated local extrema 拟合算法研究
Sarah E Davidson,Matthew W Wheeler,Scott S Auerbach et al.
Sarah E Davidson et al.
Computational methods for genomic dose-response integrate dose-response modeling with bioinformatics tools to evaluate changes in molecular and cellular functions related to pathogenic processes. These methods use parametric models to descr...
Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform [0.03%]
在可视化和交互式危害评估平台中实现计算毒理学协议
Glenn J Myatt,Arianna Bassan,Dave Bower et al.
Glenn J Myatt et al.
Mechanistically-driven alternative approaches to hazard assessment invariably require a battery of tests, including both in silico models and experimental data. The decision-making process, from selection of the methods to combining the inf...