Results 21 to 30 of about 2,040,970 (208)

Effect of Pulmonary Inflammation by Surface Functionalization of Zinc Oxide Nanoparticles

Toxics, 2021
Zinc oxide nanoparticles (ZnO NPs) are used in various industries such as food additives, cosmetics, and biomedical applications. In this study, we evaluated lung damage over time by three types of ZnO NPs (L-serine, citrate, and pristine) following the ...
Ayoung Jung, Sung-Hyun Kim, Jun-Young Yang, Jayoung Jeong, Jong Kwon Lee, Jae-Ho Oh, Jin Hee Lee   +6 more
doaj   +1 more source

Analysis of 13 Banned Colorants in Cosmetics via Liquid Chromatographic and Mass Spectrometric Techniques

Applied Sciences, 2023
Even though synthetic colorants can cause side effects such as allergies and pigmentation, they have not been sufficiently researched. Herein, high-performance liquid chromatography, liquid chromatography-tandem mass spectrometry, and liquid ...
Kyoung-Moon Han, You Kyung Kim, Sowoon Seo, Jun Hyoung Kim, Ji Hyun Lee, Hyung Il Kim, Sooyeul Cho   +6 more
doaj   +1 more source

Food and Drug Administration Regulation of Food Safety [PDF]

, 2011
Food-borne illness remains a major public health challenge in the United States, causing an estimated 48 million illness episodes and 3000 deaths annually.
Gostin, Lawrence O., Stewart, Katie F.
core   +3 more sources

Systematic review of spontaneous reports of myocarditis and pericarditis in transplant recipients and immunocompromised patients following COVID-19 mRNA vaccination

BMJ Open, 2022
Objectives To determine whether spontaneous reporting rates of myocarditis and pericarditis differed in immunocompromised patients compared with the whole population overall, and in terms of demographics, vaccine dose and time-to-onset.Design Systematic ...
Saad Shakir, Samantha Lane, Alison Yeomans   +2 more
doaj   +1 more source

Reports of myocarditis and pericarditis following mRNA COVID-19 vaccination: a systematic review of spontaneously reported data from the UK, Europe and the USA and of the scientific literature

BMJ Open, 2022
Objectives To combine spontaneously reported data from multiple countries to estimate reporting rate, and better understand risk factors for myocarditis and pericarditis following COVID-19 messenger RNA (mRNA) vaccines.Design Systematic review of ...
Saad Shakir, Samantha Lane, Alison Yeomans   +2 more
doaj   +1 more source

3DDPDs: describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors

Journal of Cheminformatics, 2023
Proteochemometric (PCM) modelling is a powerful computational drug discovery tool used in bioactivity prediction of potential drug candidates relying on both chemical and protein information.
Marina Gorostiola González, Remco L. van den Broek, Thomas G. M. Braun, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, Gerard J. P. van Westen   +7 more
doaj   +1 more source

Expression of Concern to: Diet restriction inhibits apoptosis and HMGB1 oxidation and promotes inflammatory cell recruitment during acetaminophen hepatoxicity

Molecular Medicine, 2020
The Editors-in-Chief would like to alert readers that this article [1] is part of an investigation being conducted by the journal following the conclusions of an institutional enquiry at the University of Liverpool with respect to the quantitative mass ...
Daniel James Antoine, Dominic P. Williams, Anja Kipar, Hugh Laverty, B. Kevin Park   +4 more
doaj   +1 more source

Determination of Anthelmintic and Antiprotozoal Drug Residues in Fish Using Liquid Chromatography-Tandem Mass Spectrometry

Molecules, 2021
The objective of this study is to develop a comprehensive and simple method for the simultaneous determination of anthelmintic and antiprotozoal drug residues in fish. For sample preparation, we used the “quick, easy, cheap, effective, rugged, and safe” (
Eunjung Kim, Sihyun Park, Hyunjin Park, Jangduck Choi, Hae Jung Yoon, Jeong-Han Kim   +5 more
doaj   +1 more source

DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning

Journal of Cheminformatics, 2023
Rational drug design often starts from specific scaffolds to which side chains/substituents are added or modified due to the large drug-like chemical space available to search for novel drug-like molecules.
Xuhan Liu, Kai Ye, Herman W. T. van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen   +4 more
doaj   +1 more source

An exploration strategy improves the diversity of de novo ligands using deep reinforcement learning: a case for the adenosine A2A receptor

Journal of Cheminformatics, 2019
Over the last 5 years deep learning has progressed tremendously in both image recognition and natural language processing. Now it is increasingly applied to other data rich fields. In drug discovery, recurrent neural networks (RNNs) have been shown to be
Xuhan Liu, Kai Ye, Herman W. T. van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen   +4 more
doaj   +1 more source