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 …

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 …

Machine-learning repurposing of DrugBank compounds for opioid use disorder

H Feng, J Jiang, GW Wei - Computers in biology and medicine, 2023 - Elsevier
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 …

An online nanoinformatics platform empowering computational modeling of nanomaterials by nanostructure annotations and machine learning toolkits

T Wang, DP Russo, P Demokritou, X Jia, H Huang… - Nano Letters, 2024 - ACS Publications
Modern nanotechnology has generated numerous datasets from in vitro and in vivo studies
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

E Chung, DP Russo, HL Ciallella… - Environmental …, 2023 - ACS Publications
Traditional methodologies for assessing chemical toxicity are expensive and time-
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

X Jia, X Wen, DP Russo, LM Aleksunes… - Journal of hazardous …, 2022 - Elsevier
Traditional experimental approaches to evaluate hepatotoxicity are expensive and time-
consuming. As an advanced framework of risk assessment, adverse outcome pathways …

Integrating structure annotation and machine learning approaches to develop graphene toxicity models

T Wang, DP Russo, D Bitounis, P Demokritou, X Jia… - Carbon, 2023 - Elsevier
Modern nanotechnology provides efficient and cost-effective nanomaterials (NMs). The
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 …

Multiobjective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex

H Feng, R Wang, CG Zhan, GW Wei - Journal of medicinal …, 2023 - ACS Publications
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 …

The psychonauts' benzodiazepines; quantitative structure-activity relationship (QSAR) analysis and docking prediction of their biological activity

V Catalani, M Botha, JM Corkery, A Guirguis, A Vento… - Pharmaceuticals, 2021 - mdpi.com
Designer benzodiazepines (DBZDs) represent a serious health concern and are
increasingly reported in polydrug consumption-related fatalities. When new DBZDs are …