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Author(s):  
Beibei Lu ◽  
Shunyou Hu ◽  
Dong Wu ◽  
Chengyu Wu ◽  
Zhenye Zhu ◽  
...  

Ti3C2Tx MXene is a new biocompatible, two-dimensional material with good photothermal effects, which shows great potential in cancer nano-drug research. In this study, a few-layer ionic liquid (IL)-Ti3C2Tx MXene nanosheets...


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lingyan Wu ◽  
Yang Yang ◽  
Zhujun Mao ◽  
Jianjun Wu ◽  
Dan Ren ◽  
...  

Processed and polyherbal formulations (compatibility) are widely used in traditional Chinese medicine (TCM). However, processing and compatibility may alter the efficacy and safety of herbal medicines, and therefore, evaluating the herbal medicines changes after processing and compatibility is important for their safety. Since Corydalis yanhusuo (Y.H.Chou & Chun C.Hsu) W.T.Wang ex Z.Y.Su & C.Y.Wu (Family: Papaveraceae and Genera: Corydalis), a traditional medicinal plant in China, Japan, Korea, and other Asian countries, has been used for treating a wide range of medical conditions, it is an ideal representative of studying the effects of processing and compatibility on efficacy and toxicity. In this paper, information was obtained by searching electronic databases, classic books, PhD and MSc dissertations, local conference papers, and unpublished materials prior to July 2021. We provide a summary of the phytochemistry, pharmacology, pharmacokinetics, quality control, and safety of C. yanhusuo under various processing or compatibility conditions. Based on our findings, vinegar processing is probably the best C. yanhusuo processing method, which could increase the absorption rate of tetrahydropalmatine (THP) in the heart, liver, spleen, lung, and brain tissues and alleviate mice muscle tremors and liver damage caused by C. yanhusuo. These results indicate that processing and compatibility can reduce toxicity and increase the efficacy of C. yanhusuo. The information provides an expanded understanding of the efficacy and toxicity mechanisms of TCM compounds, which is valuable for industrial production quality control and future drug research.


2021 ◽  
Author(s):  
Raihan Ur Rasool ◽  
Hafiz Farooq Ahmad ◽  
Wajid Rafique ◽  
Adnan Qayyum ◽  
Junaid Qadir

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>


2021 ◽  
Author(s):  
Adnan Qayyum

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>


2021 ◽  
Author(s):  
Adnan Qayyum

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>


2021 ◽  
Vol 9 (12) ◽  
pp. 3134-3138
Author(s):  
Preeti Preeti ◽  
Ramamurthy A ◽  
Krutika Chaudhary

Tulsi (Ocimum sanctum Linn. Family - Lamiaceae) has been revered in India for over five thousand years, as a healing balm for body, mind and spirit, and is known to bestow an amazing number of health benefits. It is a me- dicinal herb used in the indigenous system of medicine. Tulsi has been adored in almost all ancient ayurvedic texts for its extraordinary medicinal properties. It is pungent –bitter(tikta) in taste and hot (Ushna), light(laghu) and dry(ruksa) in effect. Its seeds are considered to be cold in effect. The roots, leaves and seeds of Tulsi possess several medicinal properties. Ayurvedic texts categorise Tulsi as a stimulant, aromatic and antipyretic. In the pre- sent review, the reported scientific activity of Tulsi is compiled and collected from different compendia and avail- able literature presented systematically. In the present review, the references related to Tulsi are collected and compiled from different Ayurvedic texts, Modern research articles and other relevant compendia. This review is presented in a systematic manner which will help the researchers as well as clinicians dealing with Tulsi to know its proper usage as this herb is seemed to be highly valuable, possessing many pharmacological/medicinal proper- ties according to Ayurveda as well as modern aspects. Keywords: Ayurveda, Drug Research, Holy basil, Immunity, Tulsi


Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7419
Author(s):  
Gerald Maggiora ◽  
Martin Vogt

Data on ligand–target (LT) interactions has played a growing role in drug research for several decades. Even though the amount of data has grown significantly in size and coverage during this period, most datasets remain difficult to analyze because of their extreme sparsity, as there is no activity data whatsoever for many LT pairs. Even within clusters of data there tends to be a lack of data completeness, making the analysis of LT datasets problematic. The current effort extends earlier works on the development of set-theoretic formalisms for treating thresholded LT datasets. Unlike many approaches that do not address pairs of unknown interaction, the current work specifically takes account of their presence in addition to that of active and inactive pairs. Because a given LT pair can be in any one of three states, the binary logic of classical set-theoretic methods does not strictly apply. The current work develops a formalism, based on ternary set-theoretic relations, for treating thresholded LT datasets. It also describes an extension of the concept of data completeness, which is typically applied to sets of ligands and targets, to the local data completeness of individual ligands and targets. The set-theoretic formalism is applied to the analysis of simple and joint polypharmacologies based on LT activity profiles, and it is shown that null pairs provide a means for determining bounds to these values. The methodology is applied to a dataset of protein kinase inhibitors as an illustration of the method. Although not dealt with here, work is currently underway on a more refined treatment of activity values that is based on increasing the number of activity classes.


Therapies ◽  
2021 ◽  
Author(s):  
Dominique Deplanque ◽  
Stanislas Cviklinski ◽  
Marc Bardou ◽  
Florence Ader ◽  
Hervé Blanchard ◽  
...  

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