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Function: require_once
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Function: _error_handler
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Function: _error_handler
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Filename: models/Detail_model.php
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Function: strpos
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Function: insertAPISummary
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Function: str_replace
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The lack or absence of social and political interest in the problem of antibiotic resistance, the difficulty in identifying active molecules against new targets, and above all, low profitability in comparison to other types of drugs, as well as uncertainty and the arbitrary nature of regulatory authorities in terms of assessing effectiveness, all contribute to a significant slowdown in the marketing of new antibiotics. Current conditions do not favor investment in new antibiotics by the pharmaceutical industry, which has available therapeutic areas with far greater profit potential, and other problems of its own to handle. Since we cannot force the industry to develop antibiotics, it is necessary to implement policies as soon as possible that stimulate interest in developing them, or find a way for the states and regulatory authorities to replace the pharmaceutical industry in this task.
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http://dx.doi.org/10.1016/S0213-005X(10)70043-4 | DOI Listing |
RSC Med Chem
December 2024
State Key Laboratory of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry Co., Ltd. Shanghai 201203 China
Viral infections trigger the integrated stress response (ISR) in eukaryotic cells that leads to the activation of eIF2α kinases, the elevation of eukaryotic translation initiation factor 2α (eIF2α) phosphorylation, and thereby the shutdown of global protein synthesis that viruses rely on to replicate. Coronaviruses and other viruses have evolved various subversion mechanisms to counteract the antiviral ISR. These intricate host-virus interactions may be exploited by pharmacologically activating the host ISR for the development of host-directed antivirals (HDAs), an increasingly relevant area of research.
View Article and Find Full Text PDFJ Pain Res
December 2024
Chariton Pharmaceuticals, Cambridge, MA, USA.
To obtain broad regulatory approval for a new analgesic agent in acute postoperative pain, US and European regulatory authorities require pivotal studies in both hard (bony) tissue pain and soft tissue pain. Bunionectomy is by far the most common hard tissue pivotal trial model, in spite of the fact that the model has limited relevance to clinicians prescribing pain drugs (pain from bunionectomy is not extreme or long-lasting, and is adequately treated by existing drugs). The authors outline the experimental characteristics that make bunionectomy an appealing study model for researchers despite its lack of clinical relevance compared to larger surgeries.
View Article and Find Full Text PDFDiabetes mellitus is a chronic metabolic disorder that can cause elevated blood glucose levels due to impaired insulin secretion or resistance. Different parts of have been used widely in traditional medicine to treat many disorders. The present study aims to evaluate the antidiabetic ability of the corm, pseudostem, inflorescence, fruit, peel, and seed of via in vitro experiments by inhibiting α-amylase and α-glucosidase enzymes as well as in vivo models on diabetic alloxan-induced mice.
View Article and Find Full Text PDFPest Manag Sci
December 2024
Postdoctoral Mobile Station of Biology, Genetic Engineering Research Center, College of Life Sciences, Chongqing University, Chongqing, China.
Background: Discovering insecticidal proteins with high activity and strict insect specificity and applying them to the biological control of insect pests is of great significance. Oral LqhIT2 has insecticidal activity, which most other insecticidal neurotoxin proteins do not have, but the large-scale preparation of the toxin is difficult and one of the obstacles to determining its anti-insect potential for biological control.
Results: In this study, the expression level of recombinant LqhIT2 (rLqhIT2) in Pichia pastoris was as high as 1.
SLAS Technol
December 2024
School of science, engineering and environment, University of Salford, United Kingdom. Electronic address:
This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. Key technological integrations include BERT embeddings, which provide nuanced contextual understanding of complex medical texts, and cosine similarity measures coupled with TF-IDF vectorization to significantly enhance the precision and reliability of text-based medical recommendations.
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