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1.
Journal of Ethnopharmacology ; 301:115763, 2023.
Article in English | MEDLINE | ID: covidwho-2105340

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is one of the fatal complications of respiratory virus infections such as influenza virus and coronavirus, which has high clinical morbidity and mortality. Jinhua Qinggan granules (JHQG) has been approved by China Food and Drug Administration in the treatment of H1N1 influenza and mild or moderate novel coronavirus disease 2019 (COVID-19), which is an herbal formula developed based on Maxingshigan decoction and Yinqiao powder that have been used to respiratory diseases in China for thousands of years. However, the underlying mechanism of JHQG in treating infectious diseases remains unclear.

2.
Chinese Journal of Pharmaceuticals ; 53(8):1141-1147, 2022.
Article in Chinese | EMBASE | ID: covidwho-2094063

ABSTRACT

To improve quality control of remdesivir, the key chiral impurities easily generated in the production process of remdesivir were designed and synthesized. The structures of these compounds included (S)-2-ethylbutyl 2-[[(S)-[[(2R,3S,4R,5S)-5-(4-aminopyrrolo[2,1-f][1,2,4]triazin-7-yl)-5-cyano-3,4-dihydroxytetrahydrofuran-2-yl]-methoxy](phenoxy)phosphoryl]amino]propanoate, (S)-2-[(R)-(2R,3S,4R,5R)]-type and (S)-2-[(R)-(2R,3S,4R,5S)]type optical isomers were confirmed by MS and NMR. This method was suitable for laboratory synthesis due to its mild reaction conditions, high yield and no need for chiral separation. Copyright © 2022 Shanghai Institute of Pharmaceutical Industry. All rights reserved.

3.
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice ; 42(9):2426-2446, 2022.
Article in Chinese | Scopus | ID: covidwho-2090893

ABSTRACT

Because of double pressures from “twelve consecutive declines” in monthly sales year-on-year and the novel coronavirus outbreak, purchase subsidy decrease for new energy vehicle had to be postponed from the end of 2020 to 2022. However, carmakers concentrating on intelligentization were outstanding and became the center of attention. Therefore, when purchase subsidy decrease should apply for and whether intelligentization can hedge the negative effect should be answered immediately. This paper builds a computable general equilibrium (CGE) model by adding productive intelligentization factors to production function and using procedure intelligentization factors to utility function, using different macro-closure to simulate the period of insufficient supply or demand and Chinese statistical data in 2018 to calibrate parameters, to analyze the suitable situation for purchase subsidy decrease and the difference and function border of hedging between productive intelligentization and using procedure intelligentization. The results show that purchase subsidy decrease for new energy vehicle should apply for the period of insufficient supply, because it will promote the low correlation industries and decrease the income inequality, while using procedure intelligentization developed moderately can hedge the negative effects to social farewell and new energy industry caused by purchase subsidy decrease and will not over hedge the above positive effects at the same time. But in the period of insufficient demand, the above positive effects will be altered to negative and hardly be hedged by intelligentization. Therefore, the policy decision of purchase subsidy decrease for new energy vehicle should depend on the degree of economic recovery from the novel coronavirus outbreak. If economic recovery is rapid, we can develop using procedure intelligentization moderately, namely, self driving, to hedge the subsidy decrease. Otherwise, we should postpone the subsidy decrease. © 2022 Systems Engineering Society of China. All rights reserved.

4.
18th International Conference on Intelligent Computing, ICIC 2022 ; 13394 LNCS:722-730, 2022.
Article in English | Scopus | ID: covidwho-2085270

ABSTRACT

COVID-19 and SARS virus are two related coronaviruses. In recent years, the increasingly serious epidemic situation has become the focus of all human beings, and has brought a significant impact on daily life. So, we proposed a link analysis of the two viruses. We obtained all the required COVID-19 and SARS virus data from the Uniprot database website, and we preprocessed the data after obtaining the data. In the prediction of the binding site of the COVID-19 and SARS, it is to judge the validity between the two binding sites. In response to this problem, we used Adaboost, voting-classifier and SVM classifier, and compared different classifier strategies through experiments. Among them, Metal binding site can effectively improve the accuracy of protein binding site prediction, and the effect is more obvious. Provide assistance for bioinformatics research. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
Kexue Tongbao/Chinese Science Bulletin ; 67(27):3296-3310, 2022.
Article in Chinese | Scopus | ID: covidwho-2079636

ABSTRACT

The COVID-19 outbreak has resulted in extensive human casualties and serious economic losses worldwide. The main pathogenesis of COVID-19 is viral lung infection, which causes excessive immune response and cytokine storm, leading to acute respiratory distress syndrome and multiple organ dysfunction syndrome. Due to China’s long history of battling plagues, traditional Chinese medicine (TCM) has formulated herbal recipes and developed theories on infectious diseases. During the fight against COVID-19, “three medicines and three formulae”, including Jinhua Qinggan granules, Lianhua Qingwen capsules, Xuebijing injection, Qingfei Paidu decoction, Huashi Baidu decoction, and Xuanfei Baidu decoction, were recommended by leading TCM experts and academicians. These remedies were adopted in the national guidelines for the prevention and treatment of COVID-19. Guided by the TCM theory of heat removal, humidity reduction and detoxification, the scope of the “three medicines and three formulae” approach covers the entire course of a COVID-19 infection, including the phase of pre-symptomatic medical observation and the different diagnostic stages (mild, moderate, severe, and critical) of the disease. This study reviewed progress in clinical research as well as the mechanisms of action, concerning “three medicines and three formulae” for COVID-19. Clinical evidence suggests that the “three medicines and three formulae” are effective in preventing and treating COVID-19 by alleviating typical symptoms such as fever, coughing, fatigue, phlegm and diarrhea, shortening nucleic acid-negative conversion time, improving computed tomography images feature, inhibiting lung inflammation, normalizing clinical biomarkers, and reducing COVID-19-related complications. The pharmacological mechanisms of the “three medicines and three formulae” mainly include: binding with ACE2, 3CLpro, PLpro, and TMPRSS2 to inhibit virus invasion and replication;reducing the production and secretion of pro-inflammatory factors (such as IL-6, TNF-α, IL-1, IL-10, CXCL8, CXCL10, and CCL2) to regulate immune function;and decreasing clinical indicators (such as IL-6, CRP, and D-dimer) associated with the crosstalk of viral toxicity, endothelial damage, cytokine storm, excessive immune response, and microthrombosis to protect multiple organs against damage. In the future, it is necessary to collect further clinical evidence of the “three medicines and three formulae” for COVID-19 by conducting high-quality, large-scale randomized controlled trials. Trials targeting different Chinese medicine syndromes in specific patient populations are particularly desirable. Big data collection and analysis of the efficacy and safety of the “three medicines and three formulae” for COVID-19 can be facilitated by artificial intelligence and deep learning. In addition, the active components of these treatments, in various combinations with one another, should be identified, and their respective underlying mechanisms of action should be assessed using advanced technologies, such as multi-omics integration and human induced pluripotent stem cell-derived disease models. Moreover, more attention should be paid to the COVID-19 patients of post-infection, with common syndromes such as fatigue or muscle weakness, sleep deprivation, and anxiety or depression especially for low-immunity children and elderly with chronic diseases. TCM has many advantages and should be actively explored for patients with unmet medical needs. © 2022 Chinese Academy of Sciences. All rights reserved.

6.
Journal of Ethnopharmacology ; : 115833, 2022.
Article in English | MEDLINE | ID: covidwho-2076372

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is a common manifestation of COVID-19. Xuanfei Baidu Formula(XFBD) is used in China to treat mild or common damp-toxin obstructive pulmonary syndrome in COVID-19 patients. However, the active ingredients of XFBD have not been extensively studied, and its mechanism of action in the treatment of ALI is not well understood.

7.
COVID-19 in the Environment: Impact, Concerns, and Management of Coronavirus ; : 325-344, 2021.
Article in English | Scopus | ID: covidwho-2075808

ABSTRACT

This study investigates the transport of air pollutants around the Yangtze River Delta with an aim to identify if there would be a relationship towards health effects during the COVID-19 lockdown period. It is well-known that due to lockdown, the number of socio-economical activities are reduced and hence there is an observable reduction in air pollution. We would like to investigate if this consequential reduction of air pollution would lead to improvement in health amongst its population. A number of integrated methodologies are utilized, including collection and correlation of statistical data and numerical modeling to correlate the mortality rates difference with and without COVID-19 lockdown. In particular air quality changes during the COVID-19 lockdown period are compared with similar periods of the previous years using Brute Force Method. It is found that in general there is significant reduction in air-pollution related mortality, like stroke, ischemic cardio diseases, obstructive pulmonary disease, lung cancer and acute lower respiratory infection are all reduced as a result of relative improvement in PM2.5 level during the lockdown period. Further investigation of the trajectories suggests that these PM2.5 originate from afar with multiple sources, and do not suggest COVID-19 are transported to the region via long-range transport. Our results demonstrate the need for more stringent policy measure to tackle air pollution as it has strong evidence that it increases mortality rate. © 2022 Elsevier Inc. All rights reserved.

8.
22nd COTA International Conference of Transportation Professionals, CICTP 2022 ; : 940-951, 2022.
Article in English | Scopus | ID: covidwho-2062370

ABSTRACT

COVID-19 has had a large impact on tourism demands, preferences, and behaviors. Understanding tourist congestion perception during normal and abnormal events has become a key to formulate tourist flow control schemes and develop tourism demand management in the post-COVID period. This paper explores the correlation mechanism among tourist congestion perception, tourism information services, and tourists travel behaviors in normal and abnormal conditions. To acquire tourist travel behavior, congestion perception, and tourists' socioeconomic attributes, a stated preference survey was done. The changes in travel information demand during different COVID-19 pandemic levels with different congestion perceptions were analyzed, and the effects of influencing factors such as information obtained from different tourism stages and tourist density were qualitatively analyzed. A tourist congestion perception model was established. The analysis provides basic data for establishment of tourist flow control schemes in tourist attractions and reasonable tourism information dissemination in the post-COVID-19 period. © ASCE.

9.
ACS Environmental Au ; 2(5):441-454, 2022.
Article in English | Scopus | ID: covidwho-2062151

ABSTRACT

NO2and O3simulations have great uncertainties during the COVID-19 epidemic, but their biases and spatial distributions can be improved with NO2assimilations. This study adopted two top-down NOXinversions and estimated their impacts on NO2and O3simulation for three periods: the normal operation period (P1), the epidemic lockdown period following the Spring Festival (P2), and back to work period (P3) in the North China Plain (NCP). Two TROPOspheric Monitoring Instrument (TROPOMI) NO2retrievals came from the Royal Netherlands Meteorological Institute (KNMI) and the University of Science and Technology of China (USTC), respectively. Compared to the prior NOXemissions, the two TROPOMI posteriors greatly reduced the biases between simulations with in situ measurements (NO2MREs: prior 85%, KNMI -27%, USTC -15%;O3MREs: Prior -39%, KNMI 18%, USTC 11%). The NOXbudgets from the USTC posterior were 17-31% higher than those from the KNMI one. Consequently, surface NO2levels constrained by USTC-TROPOMI were 9-20% higher than those by the KNMI one, and O3is 6-12% lower. Moreover, USTC posterior simulations showed more significant changes in adjacent periods (surface NO2: P2 vs P1, -46%, P3 vs P2, +25%;surface O3: P2 vs P1, +75%, P3 vs P2, +18%) than the KNMI one. For the transport flux in Beijing (BJ), the O3flux differed by 5-6% between the two posteriori simulations, but the difference of NO2flux between P2 and P3 was significant, where the USTC posterior NO2flux was 1.5-2 times higher than the KNMI one. Overall, our results highlight the discrepancies in NO2and O3simulations constrained by two TROPOMI products and demonstrate that the USTC posterior has lower bias in the NCP during COVD-19. © 2022 American Chemical Society. All rights reserved.

10.
Fudan University Journal of Medical Sciences ; 49(4):537-547, 2022.
Article in Chinese | Scopus | ID: covidwho-2055554

ABSTRACT

Objective To understand the status of family services and residents’demands for services in Shanghai in order to construct and improve the key elements of family services in public health events. Methods We used a combining method of individual in-depth interviews and focused group interviews. The informants were domestic and foreign experts in public health, health services, education, safety, etc., community workers and residents. The interview questions were as follow:problems in family services, residents’demands and suggestions for family services, etc. Results We found 7 major family services problems in Shanghai’s response to public health events:The boundary of authorities and responsibilities were not clearly defined between the upper and lower departments. The team construction of public health professions at the community level was flawed. There were miscommunications between upper and lower medical institutions during the epidemic outbreaks. Residents were not aware of the available family services provided by their communities. Unnoticed insanitary spots still existed in public spaces, and the maintenance of residential emergence equipment needs to be strengthened. The public opinion guidance required further strengthening, and the elderly people lack an effective medium for information acquisition. The emergency plan of closed management to solve practical problems after Shanghai’s COVID lockdown was insufficient. The residents’demands included the following 6 aspects:comprehensive family services, supply and guarantee of basic living materials and special materials, professionals providing family services as a means of support, emergency medical services, receiving psychological intervention and understanding knowledge of mental health, security of food and food supply chain security. Conclusion ‘Government led’‘cross-border cooperation’‘clear executive body’and ‘based on the needs of residents’were key factors. Therefore, we suggest family services are included in the normalizing construction of government. © 2022 Fudan University. All rights reserved.

11.
6th International Conference on Virtual and Augmented Reality Simulations, ICVARS 2022 ; : 106-114, 2022.
Article in English | Scopus | ID: covidwho-2053364

ABSTRACT

Under such severe circumstances, accurately predicting the development trend of the epidemic is of great significance for subsequent intervention and control. This paper proposes an improved SEIRS dynamic model based on the infectious disease prediction model (SEIR model), which can accurately predict the development trend of the new coronavirus pneumonia. First, the Python simulation technology combined with the SEIRS model was used to predict the spread of Wuhan in the 40 days since the outbreak, and compared with the real data in Wuhan. After fully verifying the correctness and applicability of the model, the model was applied to Shanghai. Next, use Python simulation technology to predict the spread and end time of the epidemic in Shanghai, and set different control intensities by changing the parameter , and analyze the impact of different control start times and different control intensities on the new crown pneumonia epidemic. Finally, the experimental results are analyzed to propose corresponding epidemic prevention and control measures, and the model in this paper is extended to a wider range of application scenarios. © 2022 ACM.

12.
4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 ; : 1084-1087, 2022.
Article in English | Scopus | ID: covidwho-2052013

ABSTRACT

Since the outbreak of the COVID-19, comprehensive and thorough environmental disinfection is a very important issue. In order to reduce personnel contact and reduce the risk of cross-infection, this paper designs an indoor disinfecting intelligent robot that can realize large-scale combined disinfection of disinfectant and ultraviolet. The whole system comprises of five main parts: control center, running control module, disinfection module, information processing module, and power module. The control center mainly adopts ESP32micro-controller to achieve the connection and control of all parts of the system. The running control module mainly controls the forward, backward, and rotation of the device and ensures that the system follows the expected path during the disinfection. The disinfection module uses liquid disinfectant and ultraviolet irradiation to inhibit the bacteria and kill COVID-19. Information processing module is responsible for the information interaction between the system and the data center. The proposed system transmits data through Wi-Fi and MQTT protocol, and realizes basic functions such as positioning, path planning, and disinfection. The proposed system can effectively solve the problem of personal contact and infection in the process of manual disinfection and have nice application value. © 2022 IEEE.

13.
J Ethnopharmacol ; : 115763, 2022.
Article in English | PubMed | ID: covidwho-2049460

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is one of the fatal complications of respiratory virus infections such as influenza virus and coronavirus, which has high clinical morbidity and mortality. Jinhua Qinggan granules (JHQG) has been approved by China Food and Drug Administration in the treatment of H1N1 influenza and mild or moderate novel coronavirus disease 2019 (COVID-19), which is an herbal formula developed based on Maxingshigan decoction and Yinqiao powder that have been used to respiratory diseases in China for thousands of years. However, the underlying mechanism of JHQG in treating infectious diseases remains unclear. AIM OF THE STUDY: This study investigated the effects of JHQG on neutrophil apoptosis and key signaling pathways in lipopolysaccharide (LPS) -induced ALI mice in order to explore its mechanism of anti-inflammation. MATERIALS AND METHODS: The effect of JHQG on survival rate was observed in septic mouse model by intraperitoneal injection of LPS (20 mg/kg). To better pharmacological evaluation, the mice received an intratracheal injection of 5 mg/kg LPS. Lung histopathological changes, wet-to-dry ratio of the lungs, and MPO activity in the lungs and total protein concentration, total cells number, TNF-α, IL-1β, IL-6, and MIP-2 levels in BALF were assessed. Neutrophil apoptosis rate was detected by Ly6G-APC/Annexin V-FITC staining. Key proteins associated with apoptosis including caspase 3/7 activity, Bcl-xL and Mcl-1 were measured by flow cytometry and confocal microscope, respectively. TLR4 receptor and its downstream signaling were analyzed by Western blot assay and immunofluorescence, respectively. RESULTS: JHQG treatment at either 6 or 12 g/kg/day resulted in 20% increase of survival in 20 mg/kg LPS-induced mice. In the model of 5 mg/kg LPS-induced mice, JHQG obviously decreased the total protein concentration in BALF, wet-to-dry ratio of the lungs, and lung histological damage. It also attenuated the MPO activity and the proportion of Ly6G staining positive neutrophils in the lungs, as well as the MIP-2 levels in BALF were reduced. JHQG inhibited the expression of Mcl-1 and Bcl-xL and enhanced caspase-3/7 activity, indicating that JHQG partially acted in promoting neutrophil apoptosis via intrinsic mitochondrial apoptotic pathway. The levels of TNF-α, IL-1β, and IL-6 were significantly declined in LPS-induced mice treated with JHQG. Furthermore, JHQG reduced the protein expression of TLR4, MyD88, p-p65 and the proportion of nuclei p65, suggesting that JHQG treatment inhibited TLR4/MyD88/NF-κB pathway. CONCLUSION: JHQG reduced pulmonary inflammation and protected mice from LPS-induced ALI by promoting neutrophil apoptosis and inhibition of TLR4/MyD88/NF-κB pathway, suggesting that JHQG may be a promising drug for treatment of ALI.

14.
Advanced Sciences and Technologies for Security Applications ; : 133-145, 2022.
Article in English | Scopus | ID: covidwho-2048000

ABSTRACT

COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city. © 2022, Springer Nature Switzerland AG.

15.
13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2029549

ABSTRACT

As of May 15th, 2022, the novel coronavirus SARS-COV-2 has infected 517 million people and resulted in more than 6.2 million deaths around the world. About 40% to 87% of patients suffer from persistent symptoms weeks or months after their original infection. Despite remarkable progress in preventing and treating acute COVID-19 conditions, the clinical diagnosis of long-Term COVID remains difficult. In this work, we use free-Text clinical notes and natural language processing (NLP) techniques to explore long-Term COVID effects. We first obtain free-Text clinical notes from 719 outpatient encounters representing patients treated by physicians at Emory Clinic to detect patterns in patients with long-Term COVID symptoms. We apply state-of-The-Art NLP frameworks to automatically identify patients with long-Term COVID effects, achieving 0.881 recall (sensitivity) score for note-level prediction. We further interpret the prediction outcomes and discuss potential phenotypes. Our work aims to provide a data-driven solution to identify patients who have developed persistent symptoms after acute COVID infection. With this work, clinicians may be able to identify patients who have long-Term COVID symptoms to optimize treatment. © 2022 Owner/Author.

16.
International Journal of Radiation Research ; 20(3):579-585, 2022.
Article in English | ProQuest Central | ID: covidwho-2026842
17.
2022 Asia-Pacific Computer Technologies Conference, APCT 2022 ; : 36-40, 2022.
Article in English | Scopus | ID: covidwho-2018609

ABSTRACT

Teachers and students in universities often need to print various transcripts and certificates. The service offices of campus usually require dedicated staff to provide stamping and printing services, which may be time-consuming and labor-intensive. Moreover, the traditional way of queuing in the service offices during the COVID-19 pandemic has the high risk of crowd gathering induced cross-infection of the epidemic. To overcome the above problems, a smart self-service transcripts and certificates printing system (SSTCPS) has been developed, which enables highly efficient unmanned campus service and epidemic prevention. This article introduces the design of the SSTCPS, demand analysis, system architecture, functional modules, and implementation effects. The SSTCPS consists of six modules: login authentication, item selection and preview, payment, printing and stamping, authenticity verification, and system management. It has the advantages of high efficiency, convenience, diversification, epidemic prevention, and intelligent management. Through the use of the system, it demonstrates that the smart self-service printing system could simplify work process, improve work efficiency, reduce the workload of management staff, and significantly reduce the risk of crowd gathering induced cross-infection of the epidemic. © 2022 IEEE.

18.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 85-86, 2021.
Article in English | Scopus | ID: covidwho-2012682

ABSTRACT

The COVID-19 pandemic spreads rapidly and globally. To quell the pandemic propagation, rapid and accurate detection of SARS-CoV-2 is urgently needed. Here, we present a nanopore coupled RT-LAMP method for SARSCoV-2 detection. After comparing all information from the nanopore experiment, we develop a method to use the event rate change of the amplicons translocation event to measure the amplification. As a result, our platform can distinguish positive from negative samples in 15 min with around 65 copies/reaction limit of detection and 100% specificity. We believe that the nanopore coupled RT-LAMP platform would provide a sensitive and specific detection for SARS-COV-2. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

19.
Frontiers in Genetics ; 13, 2022.
Article in English | EMBASE | ID: covidwho-2009856

ABSTRACT

A dilated lateral ventricle is a relatively common finding on prenatal ultrasound, and the causes are complex. We aimed to explore the etiology of a fetus with a dilated lateral ventricle. Trio whole-exome sequencing was performed to detect causative variants. A de novo variant of TAOK1 (NM_020791.2: c.227A>G) was detected in the proband and evaluated for potential functional impacts using a variety of prediction tools. Droplet digital polymerase chain reaction was used to exclude the parental mosaicism and to verify the phasing of the de novo variant. Based on peripheral blood analysis, the parents did not exhibit mosaicism at this site, and the de novo variant was paternally derived. Here, we describe a fetus with a de novo likely pathogenic variant of TAOK1 who had a dilated lateral ventricle and a series of particular phenotypes. This case expands the clinical spectrum of TAOK1-associated disorders. We propose a method for solving genetic disorders in which the responsible genes have not yet gone through ClinGen curation, particularly for prenatal cases.

20.
Yaoxue Xuebao ; 57(7):1977-1990, 2022.
Article in Chinese | EMBASE | ID: covidwho-2006569

ABSTRACT

Coronavirus (CoVs) is a widespread pathogen that can infect humans and animals to cause serious acute and chronic respiratory diseases. Among them, SARS-CoV broke out in 2003, MERS-CoV was discovered and spread widely in 2012, and SARS-CoV-2 emerged at the end of 2019. They all belong to β-coronavirus. Peptidomimetic inhibitors targeting coronavirus main proteases (Mpro, 3CLpro) have attracted much attention because of their broad spectrum and strong antiviral efficacy. In this review, peptidomimetic inhibitors of coronavirus main protease were classified and summarized according to the different "warheads" in design strategy. And also, the molecular structures, biological activity and design ideas of the inhibitors were analyzed and discussed, which is aimed to provide useful reference for further design and development of coronavirus inhibitors.

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