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- Volume 24, Issue 7, 2021
Combinatorial Chemistry & High Throughput Screening - Volume 24, Issue 7, 2021
Volume 24, Issue 7, 2021
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Chinese Herbal Medicines for Promoting Blood Circulation and Removing Blood Stasis for Preventing Deep Venous Thrombosis after Total Hip Arthroplasty: A Systematic Review and Meta-Analysis
Authors: Hetao Huang, Jianke Pan, Yanhong Han, Lingfeng Zeng, Guihong Liang, Weiyi Yang and Jun LiuAim and Objective: To evaluate the efficacy and safety of Chinese herbal medicines for promoting blood circulation and removing blood stasis (PBCRBSM) for preventing deep venous thrombosis (DVT) after total hip arthroplasty (THA). Materials and Methods: The databases were searched for studies comparing the preventive abilities of PBCRBSM and Western medicine, such as low molecular weight heparin (LMWH), rivaro Read More
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The Influence of Diabetes Mellitus on Rotator Cuff Repair: A Systematic Review and Meta-Analysis
Authors: Xiaomin Lu, He Sun, YiSheng Xu and Xuewei CaoBackground: Clinical outcomes after rotator cuff repair associated with diabetes mellitus (DM) are generally favorable, but no study has attempted to establish the influence of DM on outcomes after rotator cuff repair. Purpose: To conduct a meta-analysis of clinical studies evaluating patient outcomes between people with DM and people without DM after rotator cuff repair. Study Design: Meta-analysis. Methods: A literature s Read More
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An E-nose and Convolution Neural Network based Recognition Method for Processed Products of Crataegi Fructus
Authors: Tianshu Wang, Yanpin Chao, Fangzhou Yin, Xichen Yang, Chenjun Hu and Kongfa HuBackground: The manual identification of Fructus Crataegi processed products is inefficient and unreliable. Therefore, efficient identification of the Fructus Crataegis’ processed products is important. Objective: In order to efficiently identify Fructus Crataegis processed products with different odor characteristics, a new method based on an electronic nose and convolutional neural network is proposed. Methods: First, the origin Read More
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Privacy-preserving Collaborative Training for Medical Image Analysis Based on Multi-Blockchain
Authors: Wanlu Zhang, Qigang Wang and Mei LiBackground: As artificial intelligence and big data analysis develop rapidly, data privacy, especially patient medical data privacy, is getting more and more attention. Objective: The study aims to strengthen the protection of private data while ensuring the model training process; this article introduces a multi-Blockchain-based decentralized collaborative machine learning training method for medical image analysis. In this wa Read More
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Protective Effects of Astragalus Membranaceus and Ligustrazine on Rat Brain Microvascular Endothelial Cell Injury after Oxygen-Glucose Deprivation/ Reoxygenation by Suppressing the PKCδ/MARCKS Pathway
Authors: Xialin Tang, Huajun Wang, Huihuan Chen, Shuangxi Sun, Hongxia Chen and Ruihuan PanAim and Objective: Cell death is a main pathological change in brain ischemia. Astragalus membranaceus (Ast) and ligustrazine (Lig), as traditional Chinese herbs, have a protective effect against ischemia-reperfusion injury. We aim to find whether the underlying protective mechanism of Astragalus membranaceus and ligustrazine against Oxygen–glucose deprivation/reoxygenation (OGD/R) -induced injury in RBMECs is rel Read More
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Analysis of Chinese Herbal Formulae Recommended for COVID-19 in Different Schemes in China: A Data Mining Approach
Authors: LiWei Yin, YaCen Gao, ZiPing Li, MengYu Wang and KaiXin ChenBackground: Novel coronavirus pneumonia (NCP), or coronavirus disease 2019 (COVID-19), is a worldwide health threat that has affected millions of people globally. Traditional Chinese medicine (TCM) has been introduced for the treatment of COVID-19. However, efficacy differs among herbal medicines, and the ideal prescription pattern for TCM herbal formulae for COVID-19 treatment needs to be explored. Therefore, the dat Read More
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Clinical Study of Qingpeng Ointment Treating Shoulder-hand Syndrome After Cerebral Hemorrhage During the Rehabilitation Period
Authors: Ruihuan Pan, Shanshan Ling, Haodong Yang, Yan Huang, Lechang Zhan, Yiping Zhong and Hongxia ChenBackground: Shoulder-hand syndrome (SHS) refers to a syndrome causing sudden edema, shoulder pain and limited hand function. Qingpeng ointment, a kind of Tibetan medicine, can reduce swelling, relieve pain, tonify stagnation and clear the meridians, which is consistent with the pathological mechanism of SHS after stroke. Therefore, if clinical trials can be used to explore the effectiveness of Qingpeng ointment f Read More
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Analysis of miRNA-mRNA Interaction Network Reveals Gap Junction Beta 2 as a Potential Candidate Gene Involved in Psoriatic Hearing Loss Pathogenesis
Authors: Queping Liu, Lisha Wu, Chuanjian Lu and Dinghong WuBackground: Recent studies have shown that patients with psoriasis, a chronic inflammatory skin disorder that may accompany the serious systemic disease, are at risk of developing sudden sensorineural hearing loss. The pathogenesis remains unclear, and the mechanisms of this disorder are difficult to explore in the clinical setting due to psoriasis hearing loss’s infrequent incidence. Here, we aimed to identify key Read More
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Prognostic Significance of Hematopoietic-cell Serglycin for the Survival of Hepatocellular Carcinoma: A Single-center Retrospective Study
Authors: Yue Li, Hongjie Chen, Huiqiong Lu, Zengcheng Zou and Yongwei LiAim and Objective: Inflammation-related changes in peripheral blood cells and blood proteins are prognostic factors for survival in hepatocellular carcinoma (HCC), but their usefulness is limited by an active bacterial infection. This study investigated whether infection interfered with the predictive value of serglycin, a proteoglycan found in hematopoietic cells, on survival in HCC. Materials and Methods: Patients with hepat Read More
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Electroacupuncture Ameliorates CUMS-induced Depression-like Behavior: Involvement of the Glutamatergic System and Apoptosis in Rats
Authors: Qin Guo, Xian-Ming Lin, Zhong Di, Quan-Ai Zhang and Shuo JiangBackground: Converging evidence indicates that the glutamatergic system and glia are directly implicated in the pathophysiology of depression. Clinical studies indicate that electroacupuncture (EA) has anti-depressant-like effects with low side effects for depression. However, the underlying antidepressant mechanism of acupuncture remains obscure. Methods: Chronic unpredictable mild stress (CUMS)-induced depressive rat Read More
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Dynamic Behavior of Biomaterials Uncovered by Cryo-electron Microscopy
Authors: Yimin Zhao, Yizhen Zhao, Bingquan Peng and Lei ZhangStructural biology develops rapidly with time. The static structure analysis of biomaterials is not enough to satisfy the studies of their functional mechanisms, with a huge obstacle for the dynamic process of biological complexes. The rapid development of cryo-electron microscopy (cryo-EM) technology makes it possible to observe the near-atomic resolution structures and dynamic nature of biological macromolecules, in the f Read More
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Recent Advances on Organic Fluorescent Probes for Stimulated Emission Depletion (STED) Microscopy
Authors: Ruohan Xu, Yanzi Xu, Zhi Wang, Yu Zhou, Dongfeng Dang and Lingjie MengStimulated emission depletion (STED) microscopy has become a useful tool for visualization and dynamic monitoring at an ultra-high resolution in biological research and material science. For STED technology, fluorescent probes are irreplaceable in the imaging process. Among these probes, organic fluorescent probes have superior photo-stability, high brightness, large Stokes’ shifts and excellent biocompatibility, thus are wid Read More
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Recent trends in QSAR in Modelling of Drug-Protein and Protein-Protein Interactions
Authors: Smriti Sharma and Vinayak BhatiaThe unprecedented growth in the area of QSAR has completely changed the landscape of drug discovery. QSAR techniques quantitatively correlate the associations between chemical structure alterations and respective changes in biological activity, thereby playing a major role in improving the potency, efficacy and selectivity of the lead compounds in drug design. In this review, authors have summarized the role of QSAR in dru Read More
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DSARna: RNA Secondary Structure Alignment Based on Digital Sequence Representation
Authors: Longjian Gao, Chengzhen Xu, Wangan Song, Feng Xiao, Xiaomin Wu, Li Shi, Yuxuan Sun and Jun LiBackground: With increasing applications and development of high-throughput sequencing, knowledge of the primary structure of RNA has expanded exponentially. Moreover, the function of RNA is determined by the secondary or higher RNA structure, and similar structures are related to similar functions, such as the secondary clover structure of tRNA. Therefore, RNA structure alignment is an important subject in comp Read More
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The Antiviral and Antimalarial Drug Repurposing in Quest of Chemotherapeutics to Combat COVID-19 Utilizing Structure-Based Molecular Docking
Authors: Sisir Nandi, Mohit Kumar, Mridula Saxena and Anil K. SaxenaBackground: The novel coronavirus disease (COVID-19) is caused by a new strain (SARS-CoV-2) that erupted in 2019. Nowadays, it is a great threat that claims uncountable lives worldwide. There is no specific chemotherapeutics developed yet to combat COVID-19. Therefore, scientists have been devoted to the quest of the medicine that can cure COVID-19. Objective: Existing antivirals, such as ASC09/ritonavir, lopinavir/riton Read More
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Mechanistic Insights to the Binding of Antibody CR3022 Against RBD from SARS-CoV and HCoV-19/SARS-CoV-2: A Computational Study
Authors: Wei Yu, Xiaomin Wu, Jiayi Ren, Xiaochun Zhang, Yueming Wang, Chengming Li, Wenwen Xu, Jason Li, Gang Li, Weihong Zheng, Huaxin Liao and Xiaohui YuanAims & Objective: Coronavirus Disease 2019 (COVID-19) caused by the human coronavirus 2019 (HCoV-19, also known as SARS-CoV-2) infection is currently in a global outbreak. COVID-19 has posed a huge threat to public health and economic stability worldwide. CR3022, a human monoclonal neutralizing antibody isolated from a Severe Acute Respiratory Syndrome (SARS) recovery patient, was confirmed to be able to bind the Read More
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G-Lymphatic, Vascular and Immune Pathways for Aβ Clearance Cascade and Therapeutic Targets For Alzheimer’s Disease
Authors: Saurav Chakraborty, Jyothsna ThimmaReddygari and Divakar SelvarajAlzheimer's disease is an age-related neurodegenerative disease. The factors causing Alzheimer's disease are numerous. Research on humans and rodent models predicted various causative factors involved in Alzheimer's disease progression. Among them, neuroinflammation, oxidative stress, and apoptosis play a major role because of the accumulation of extracellular amyloid-beta peptides. Here, the clearance of amyloid bet Read More
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Exploration of the Potential Mechanisms of Compounds from Rheum palmatum L. against Chronic Obstructive Pulmonary Disease: A Network Pharmacology Study
Authors: Jiaqian Xue and Suofang ShiBackground: Rheum palmatum L. (RpL) is a traditional Chinese medicine commonly used clinically. However, there was no systematic research to elucidate the mechanisms of RpL acting on COPD. Objective: To explore the potential mechanisms against COPD based on network pharmacology. Methods: The active compounds of RpL were retrieved from TCMSP database, and their corresponding targets were obtained through T Read More
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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Label-Free Detection of Biomolecular Interactions Using BioLayer Interferometry for Kinetic Characterization
Authors: Joy Concepcion, Krista Witte, Charles Wartchow, Sae Choo, Danfeng Yao, Henrik Persson, Jing Wei, Pu Li, Bettina Heidecker, Weilei Ma, Ram Varma, Lian-She Zhao, Donald Perillat, Greg Carricato, Michael Recknor, Kevin Du, Huddee Ho, Tim Ellis, Juan Gamez, Michael Howes, Janette Phi-Wilson, Scott Lockard, Robert Zuk and Hong Tan
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