Results 1 to 10 of about 13 (10)

SApredictor: An Expert System for Screening Chemicals Against Structural Alerts [PDF]

Frontiers in Chemistry, 2022
The rapid and accurate evaluation of chemical toxicity is of great significance for estimation of chemical safety. In the past decades, a great number of excellent computational models have been developed for chemical toxicity prediction.
Yuqing Hua, Xueyan Cui, Bo Liu, Yinping Shi, Huizhu Guo, Ruiqiu Zhang, Xiao Li, Xiao Li   +7 more
doaj   +4 more sources

Modeling and insights into the structural characteristics of drug-induced autoimmune diseases [PDF]

Frontiers in Immunology, 2022
The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in recent years, which may lead to serious or fatal consequences. Besides, many environmental and industrial chemicals can also cause DIAD.
Huizhu Guo, Peitao Zhang, Ruiqiu Zhang, Yuqing Hua, Pei Zhang, Xueyan Cui, Xin Huang, Xiao Li, Xiao Li   +8 more
doaj   +2 more sources

Modeling and insights into the structural characteristics of endocrine-disrupting chemicals

Ecotoxicology and Environmental Safety, 2023
Endocrine-disrupting chemicals (EDCs) can cause serious harm to human health and the environment; therefore, it is important to rapidly and correctly identify EDCs.
Ruiqiu Zhang, Bailun Wang, Ling Li, Shengjie Li, Huizhu Guo, Pei Zhang, Yuqing Hua, Xueyan Cui, Yan Li, Yan Mu, Xin Huang, Xiao Li   +11 more
doaj   +1 more source

Modeling and insights into the structural basis of chemical acute aquatic toxicity

Ecotoxicology and Environmental Safety, 2022
It has become a top global regulatory priority to prevent and control pollution from the release of synthetic chemicals, which continues to affect the aquatic communities. In the past decades, computational tools were largely used to significantly reduce
Ruiqiu Zhang, Huizhu Guo, Yuqing Hua, Xueyan Cui, Yinping Shi, Xiao Li   +5 more
doaj   +1 more source

A Novel System Anomaly Prediction System Based on Belief Markov Model and Ensemble Classification

Mathematical Problems in Engineering, Volume 2013, Issue 1, 2013., 2013
Computer systems are becoming extremely complex, while system anomalies dramatically influence the availability and usability of systems. Online anomaly prediction is an important approach to manage imminent anomalies, and the high accuracy relies on precise system monitoring data.
Xiaozhen Zhou, Shanping Li, Zhen Ye, Yingwei Zhang   +3 more
wiley   +1 more source

Modeling and Insights into the Structural Characteristics of Chemical Mitochondrial Toxicity. [PDF]

ACS Omega, 2023
Zhang R, Chen Z, Wang B, Li Y, Mu Y, Li X.   +5 more
europepmc   +1 more source

In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity. [PDF]

Front Pharmacol, 2021
Shi Y, Hua Y, Wang B, Zhang R, Li X.
europepmc   +1 more source

Machine Learning-Enabled Drug-Induced Toxicity Prediction. [PDF]

Adv Sci (Weinh)
Bai C, Wu L, Li R, Cao Y, He S, Bo X.
europepmc   +1 more source

Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessment. [PDF]

J Cheminform
Piir G, Sild S, Tcheremenskaia O, Di Consiglio E, Henriksson J, Gajewicz-Skretna A, Mombelli E, Roncaglioni A, Maran U.   +8 more
europepmc   +1 more source

SAPredictor

Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022
Yujuan Tan, Wei Chen 0101, Zhulin Ma, Dan Xiao, Zhichao Yan 0001, Duo Liu, Xianzhang Chen   +6 more
openaire   +1 more source