Ruiqi yin (ruiqiy)

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Timeline of the 2019–20 coronavirus pandemic from November 2019 to January 2020

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So please proceed with care and consider checking the Twitter privacy policy. Authors: no matches. Venues: no matches. Publications: no matches.For treating a complex disease such as cancer, some effective means are needed to control biological networks that underlies the disease. The one-target one-drug paradigm has been the dominating drug discovery approach in the past decades. Compared to single target-based drugs, combination drug targets may overcome many limitations of single drug target and achieve a more effective and safer control of the disease.

Most of existing combination drug targets are developed based on clinical experience or text-and-trial strategy, which cannot provide theoretical guidelines for designing and screening effective drug combinations.

Therefore, systematic identification of multiple drug targets and optimal intervention strategy needs to be developed. We developed a strategy to screen the synergistic combinations of two drug targets in disease networks based on the classification of single drug targets.

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The method tried to identify the sensitivity of single intervention and then the combination of multiple interventions that can restore the disease network to a desired normal state. In our strategy of screening drug target combinations, we first classified all drug targets into sensitive and insensitive single drug targets.

Then, we identified the synergistic and antagonistic of drug target combinations, including the combinations of sensitive drug targets, the combinations of insensitive drug target and the combination of sensitive and insensitive targets. Finally, we applied our strategy to Arachidonic Acid AA metabolic network and found 18 pairs of synergistic drug target combinations, five of which have been proven to be viable by biological or medical experiments. Different from traditional methods for judging drug synergy and antagonism, we propose the framework of how to enhance the efficiency by perturbing two sensitive targets in a combinatorial way, how to decrease the drug dose and therefore its side effect and cost by perturbing combinatorially a main sensitive target and an auxiliary insensitive target, and how to perturb two insensitive targets to realize the transition from a disease state to a healthy one which cannot be realized by perturbing each insensitive target alone.

Although the idea is mainly applied to an AA metabolic network, the strategy holds for more general molecular networks such as combinatorial regulation in gene regulatory networks.

The online version of this article In the past decades, effective treatments of a complex diseases require practical means to control the biological networks underlying the disease.

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Biological networks are often robust to external disturbances, so it is difficult to control network dynamics by controlling a single target, and drugs targeting multiple targets may counter these troubles [ 1 ].

It has been long realized that the behavior of drug molecules in a disease network can be complex. The one-target one-drug paradigm has been the dominating drug discovery approach which result in many drugs marketed but cannot treat certain complex diseases sufficiently [ 2 — 4 ]. In fact, drug combination therapeutics are often more effective and are used to treat various complex diseases in recent years. To overcome the limitations of the single-target-based drugs, growing attention has been paid to drug discoveries involving multiple targets at the level of disease networks [ 5 ].

Actually, it has been a long history of using combination drugs to treat diseases. For example, the Traditional Chinese Medicines TCMespecially herbal medicines, which can be viewed as the combinations of multiple compounds with synergy effects, have been used for thousands of years [ 6 ]. A diverse range of works have been carried out in the emerging field of multi-target drug design, many methods have been proposed to identify effective drug combinations [ 57 — 11 ].

It is recommended that system-oriented drug design should consider the intrinsic properties of biological systems, such as robustness [ 12 ]. Many mathematical models of disease-relevant pathways have been constructed which have the potential to elucidate underlying mechanisms of diseases and to identify treatment strategies [ 1314 ].

And analyzing the properties of networks can attribute to identify potential drug targets and understand the connectivity between them [ 1516 ].Thanks for helping us catch any problems with articles on DeepDyve.

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ruiqi yin (ruiqiy)

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Web of Science. Let us know here. System error.This article documents the chronology and epidemiology of the severe acute respiratory syndrome coronavirus 2 SARS-CoV-2[1] the virus responsible for the —20 coronavirus pandemicwhich was first detected in WuhanChina.

Some developments may become known or fully understood only in retrospect. This omnibus timeline is divided into monthly sections and articles: This chronological section covers November to Januarythe next one covers Februaryand so on. According to phylogenetic analysis of SARS-CoV-2the predicted latest common ancestor of all sequenced genomes would go back to late November, with an error of margin of one month. It is expected that either the virus got introduced in the human population at this date, eg.

A retrospective study published in The Lancet on 24 January revealed that the earliest laboratory confirmed case of Covid was in a man whose symptoms began on 1 Decemberand that he had not been to the Huanan Seafood Wholesale Market of Wuhan. No epidemiological link could be found between him and the others of the first confirmed cluster of 41 cases, which had mostly been discovered using the national pneumonia surveillance system. A report by the South China Morning Post on 13 March suggested that one man, aged 55 years, could have been infected on 17 November The Wall Street Journal reported on 6 Marchthat one of the earliest affected cases was a year-old seafood merchant working at the Huanan Seafood Wholesale Market, whose symptoms began on 10 December.

COVID-19 Remote Access Support:

The earliest onset of symptoms of pneumonia of unknown etiology was at one time recorded as 12 December, when Chinese authorities reported on suspected cases up to 5 January Between 20 and 29 December, members of the Wuhan Institute of Virology and others reported and published a report on people with severe pneumonia who were admitted to the intensive care unit of the Wuhan Jin Yin-Tan Hospital at the beginning of the outbreak.

Bronchoalveolar lavage fluid BAL that was eventually used for viral genome sequencing was collected from hospital patients between 24 and 29 December. Their samples were sent to the laboratory at the Wuhan Institute of Virology and other medical labs for the diagnosis of the causative pathogen. Patient ICU was not proven to be linked to the Wuhan Seafood Market, but the other six were either sellers or deliverymen at the market.

Chinese epidemiologists published on CCDC Weekly Chinese Center for Disease Control and Prevention 21 January an article stating that the first cluster of patients with "pneumonia of an unknown cause" occurred beginning 21 December and that the virus was more prevalent in older adults.

Doctors from Central Hospital of Wuhan took fluid samples from the lungs of a year-old deliveryman who worked at the Wuhan seafood market and sent them to Vision Medicals, Guangzhou, for testing.

According to the China Youth DailyWuhan Fifth Hospital gastroenterology director Lu Xiaohong said that she heard some hospital staff might be infected on 25 December. Another patient, a merchant from the Huanan Seafood Wholesale Marketalso arrived at the hospital with fever and cough that day. Zhang, having conducted tests to rule out known respiratory ailments and believing this to be an infectious disease, reported the four cases to her superiors at the hospital on 27 December Vision Medicals had sequenced most of the virus from fluid samples of the year-old deliveryman sent by Central Hospital of Wuhan on 27 December.

The results showed an alarming similarity to the deadly SARS coronavirus between and During the following two days, Hubei Provincial received three similar cases, all associated with the seafood market.

On 29 December, hospital administration convened a multi-departmental panel of doctors who concluded the cases were unusual and required special attention, whereupon they reported their findings to the provincial CDC.These metrics are regularly updated to reflect usage leading up to the last few days. Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric. Find more information on the Altmetric Attention Score and how the score is calculated. Room-temperature solid-state sodium batteries SSBs are viewed as one of the most promising candidates for next-generation energy storage devices because of their cost-effectiveness, safety performance, and high energy density.

The American Chemical Society holds a copyright ownership interest in any copyrightable Supporting Information.

COVID-19 Remote Access Support:

Files available from the ACS website may be downloaded for personal use only. Users are not otherwise permitted to reproduce, republish, redistribute, or sell any Supporting Information from the ACS website, either in whole or in part, in either machine-readable form or any other form without permission from the American Chemical Society.

For permission to reproduce, republish and redistribute this material, requesters must process their own requests via the RightsLink permission system. More by Haoyu Fu. More by Qingyang Yin. More by Ying Huang. More by Huabin Sun. More by Yuwei Chen. More by Ruiqi Zhang. More by Qian Yu. More by Lian Gu. More by Jian Duan. More by Wei Luo. Article Views Altmetric. Supporting Information. Cited By.

ruiqi yin (ruiqiy)

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Screening drug target combinations in disease-related molecular networks

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ruiqi yin (ruiqiy)

Add a list of citing articles from to record detail pages. Privacy notice: By enabling the option above, your browser will contact the API of opencitations. So please proceed with care and consider checking the OpenCitations privacy policy. Show tweets from on the dblp homepage. Privacy notice: By enabling the option above, your browser will contact twitter. At the same time, Twitter will persitently store several cookies with your web browser.

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