PubChem 2023 update
S Kim, J Chen, T Cheng, A Gindulyte, J He… - Nucleic acids …, 2023 - academic.oup.com
Abstract PubChem (https://pubchem. ncbi. nlm. nih. gov) is a popular chemical information
resource that serves a wide range of use cases. In the past two years, a number of changes …
resource that serves a wide range of use cases. In the past two years, a number of changes …
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) adsorbed on microplastics in drinking water: Implications for female exposure, reproductive health risk and its …
M Du, Q Pu, X Li, H Yang, N Hao, Q Li, Y Zhao… - Journal of Cleaner …, 2023 - Elsevier
In this paper, molecular dynamics (MD) simulations were used to analyze the effects of
different additive combinations in microplastics (MPs) on the female reproductive toxicity of …
different additive combinations in microplastics (MPs) on the female reproductive toxicity of …
Machine-learning repurposing of DrugBank compounds for opioid use disorder
Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued
and compulsive use of opioids despite harmful consequences. The development of …
and compulsive use of opioids despite harmful consequences. The development of …
An online nanoinformatics platform empowering computational modeling of nanomaterials by nanostructure annotations and machine learning toolkits
Modern nanotechnology has generated numerous datasets from in vitro and in vivo studies
on nanomaterials, with some available on nanoinformatics portals. However, these existing …
on nanomaterials, with some available on nanoinformatics portals. However, these existing …
Data-driven quantitative structure–activity relationship modeling for human carcinogenicity by chronic oral exposure
Traditional methodologies for assessing chemical toxicity are expensive and time-
consuming. Computational modeling approaches have emerged as low-cost alternatives …
consuming. Computational modeling approaches have emerged as low-cost alternatives …
Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay
Traditional experimental approaches to evaluate hepatotoxicity are expensive and time-
consuming. As an advanced framework of risk assessment, adverse outcome pathways …
consuming. As an advanced framework of risk assessment, adverse outcome pathways …
Integrating structure annotation and machine learning approaches to develop graphene toxicity models
Modern nanotechnology provides efficient and cost-effective nanomaterials (NMs). The
increasing usage of NMs brings great concerns regarding nanotoxicity in humans …
increasing usage of NMs brings great concerns regarding nanotoxicity in humans …
Innovative screening for functional improved aromatic amine derivatives: Toxicokinetics, free radical oxidation pathway and carcinogenic adverse outcome pathway
Y Liu, X Li, Q Pu, R Fu, Z Wang, Y Li, X Li - Journal of Hazardous Materials, 2023 - Elsevier
Aromatic amines, one of the most widely used low-cost antioxidants in rubbers, have been
regarded as pollutants with human health concerns. To overcome this problem, this study …
regarded as pollutants with human health concerns. To overcome this problem, this study …
Multiobjective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex
Opioid use disorder (OUD) has emerged as a significant global public health issue,
necessitating the discovery of new medications. In this study, we propose a deep generative …
necessitating the discovery of new medications. In this study, we propose a deep generative …
The psychonauts' benzodiazepines; quantitative structure-activity relationship (QSAR) analysis and docking prediction of their biological activity
Designer benzodiazepines (DBZDs) represent a serious health concern and are
increasingly reported in polydrug consumption-related fatalities. When new DBZDs are …
increasingly reported in polydrug consumption-related fatalities. When new DBZDs are …