Triclosan: Antimicrobial mechanisms, antibiotics interactions, clinical applications, and human health
P Shrestha, Y Zhang, WJ Chen… - Journal of Environmental …, 2020 - Taylor & Francis
The large-scale applications of Triclosan in industrial and household products have created
many health and environmental concerns. Despite the fears of its drug-resistance and other …
many health and environmental concerns. Despite the fears of its drug-resistance and other …
Machine learning methods for endocrine disrupting potential identification based on single-cell data
Humans are continuously exposed to a variety of toxicants and chemicals which is
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders
An abnormal hormonal activity or exposure to endocrine-disrupting chemicals (EDCs) can
cause endocrine system malfunction. Among the many interactions EDCs can affect is the …
cause endocrine system malfunction. Among the many interactions EDCs can affect is the …
Advances in In Silico Toxicity Assessment of Nanomaterials and Emerging Contaminants
X Li, Y Huang, J Chen - Advances in Toxicology and Risk Assessment of …, 2022 - Springer
Risk assessment of engineered nanomaterials (ENMs) and other emerging substances is
essential to protect human health and the environment. Non-testing approaches in hazard …
essential to protect human health and the environment. Non-testing approaches in hazard …
Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms
R Mukherjee, B Beykal, AT Szafran… - PLoS Computational …, 2020 - journals.plos.org
Environmental toxicants affect human health in various ways. Of the thousands of chemicals
present in the environment, those with adverse effects on the endocrine system are referred …
present in the environment, those with adverse effects on the endocrine system are referred …
ED Profiler: Machine Learning Tool for Screening Potential Endocrine-Disrupting Chemicals
Endocrine-disrupting chemicals (EDCs) could evoke untold endocrine-related detrimental
effects on humans and wildlife. To minimize the potential deleterious effects of EDCs on the …
effects on humans and wildlife. To minimize the potential deleterious effects of EDCs on the …
Computational toxicology of pharmaceuticals
The information on the toxicity of pharmaceuticals on human health is of paramount
importance. While animal models are a conventional approach to toxicological assessment …
importance. While animal models are a conventional approach to toxicological assessment …
Mold2 Descriptors Facilitate Development of Machine Learning and Deep Learning Models for Predicting Toxicity of Chemicals
Numerical description of chemical structures is necessary for development of machine
learning and deep learning models for predicting the potential toxicity of chemicals. Mold2 is …
learning and deep learning models for predicting the potential toxicity of chemicals. Mold2 is …
Potential targets of endocrine-disrupting chemicals related to breast cancer identified by ToxCast and deep learning models
M Guan, G Qi, Z Li, X Hou - Toxicological & Environmental …, 2023 - Taylor & Francis
Of 47 endocrine-disrupting chemicals (EDCs) collected from literature and related to breast
cancer, not all were tested in a toxicity forecaster (ToxCast) program of the US …
cancer, not all were tested in a toxicity forecaster (ToxCast) program of the US …
Advances in Data-Driven Modeling and Global Optimization of Constrained Grey-Box Computational Systems
B Beykal - 2020 - search.proquest.com
The effort to mimic a chemical plant's operations or to design and operate a completely new
technology in silico is a highly studied research field under process systems engineering. As …
technology in silico is a highly studied research field under process systems engineering. As …