Results 21 to 30 of about 874,537 (314)
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 +4 more
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Drug Safety - Case Reports [PDF]
Literature reports of suspected adverse drug reactions (ADRs) associated with medicinal products for human use are not just an integral part of signal detection activities, but are also an important source of information for professionals involved in patient management.
Joshi, Nitin, McMillan, Steve
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DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning
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 +4 more
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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 +5 more
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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 +4 more
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Rewarding and Reinforcing Effects of 25H-NBOMe in Rodents
The drug 25H-NBOMe is a new psychoactive substance (NPS). The use of these substances is likely to pose a threat to public health because they elicit effects similar to those of known psychoactive substances with similar chemical structures.
Cheolmin Jo +8 more
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Papyrus: a large-scale curated dataset aimed at bioactivity predictions
With the ongoing rapid growth of publicly available ligand–protein bioactivity data, there is a trove of valuable data that can be used to train a plethora of machine-learning algorithms.
O. J. M. Béquignon +5 more
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Safety of antiobesity drugs [PDF]
Obesity is a major health problem worldwide. Although diet and physical activity are crucial in the management of obesity, the long-term success rate is low. Therefore antiobesity drugs are of great interest, especially when lifestyle modification has failed.
Cheung, TT +2 more
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Monitoring of veterinary drug residues in livestock products with antimicrobial resistance
Antimicrobial resistance (AMR) in animal-derived products remains a global concern, while reports on veterinary drug (VD) residues in such products are relatively rare.
Dahae Park +5 more
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Members of the solute carrier (SLC) transporter protein family are increasingly recognized as therapeutic drug targets. The majority of drug screening assays for SLCs are based on the uptake of radiolabeled or fluorescent substrates.
Hubert J. Sijben +4 more
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