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  1. Article ; Online: Receptor-binding domain-associated serotypes of SARS-CoV-2.

    Liu, Zezhong / Lu, Lu / Jiang, Shibo

    Emerging microbes & infections

    2024  Volume 13, Issue 1, Page(s) 2309968

    MeSH term(s) Humans ; SARS-CoV-2/metabolism ; COVID-19 ; Serogroup ; Binding Sites ; Protein Binding ; Spike Glycoprotein, Coronavirus/genetics ; Spike Glycoprotein, Coronavirus/metabolism
    Chemical Substances Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2024-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2681359-2
    ISSN 2222-1751 ; 2222-1751
    ISSN (online) 2222-1751
    ISSN 2222-1751
    DOI 10.1080/22221751.2024.2309968
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Up or down: where comes Omicron?

    Liu, Zezhong / Lu, Lu / Jiang, Shibo

    Cell research

    2022  Volume 32, Issue 7, Page(s) 601–602

    Language English
    Publishing date 2022-05-30
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1319303-x
    ISSN 1748-7838 ; 1001-0602
    ISSN (online) 1748-7838
    ISSN 1001-0602
    DOI 10.1038/s41422-022-00675-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5283: Show issues Location:
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  3. Article ; Online: Application of "B+1" heterologous boosting strategy for preventing infection of SARS-CoV-2 variants with resistance to broad-spectrum coronavirus vaccines.

    Liu, Zezhong / Lu, Lu / Jiang, Shibo

    Emerging microbes & infections

    2023  Volume 12, Issue 1, Page(s) 2192817

    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19 Vaccines ; COVID-19/prevention & control ; Spike Glycoprotein, Coronavirus/genetics ; Antibodies, Viral ; Antibodies, Neutralizing
    Chemical Substances COVID-19 Vaccines ; Spike Glycoprotein, Coronavirus ; Antibodies, Viral ; Antibodies, Neutralizing ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2023-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2681359-2
    ISSN 2222-1751 ; 2222-1751
    ISSN (online) 2222-1751
    ISSN 2222-1751
    DOI 10.1080/22221751.2023.2192817
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: High-throughput screening of mutations affecting SARS-CoV-2 spike functions.

    Xia, Shuai / Liu, Zezhong / Jiang, Shibo

    Trends in immunology

    2023  Volume 44, Issue 5, Page(s) 321–323

    Abstract: The spike (S) protein of SARS-CoV-2, which is undergoing rapid evolution, plays crucial roles in viral immune escape, infectivity, and transmissibility. To gain clinical insight, Dadonaite et al. developed a novel deep mutational scanning (DMS) platform ... ...

    Abstract The spike (S) protein of SARS-CoV-2, which is undergoing rapid evolution, plays crucial roles in viral immune escape, infectivity, and transmissibility. To gain clinical insight, Dadonaite et al. developed a novel deep mutational scanning (DMS) platform for mapping the effects of S protein mutations on immune evasion and viral infectivity.
    MeSH term(s) Humans ; High-Throughput Screening Assays ; COVID-19/genetics ; SARS-CoV-2/genetics ; Mutation/genetics ; Immune Evasion
    Language English
    Publishing date 2023-03-29
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2036831-8
    ISSN 1471-4981 ; 1471-4906
    ISSN (online) 1471-4981
    ISSN 1471-4906
    DOI 10.1016/j.it.2023.03.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The putative mechanism of lymphopenia in COVID-19 patients.

    Wang, Xinling / Liu, Zezhong / Lu, Lu / Jiang, Shibo

    Journal of molecular cell biology

    2022  Volume 14, Issue 5

    MeSH term(s) COVID-19/complications ; Humans ; Lymphopenia/complications ; SARS-CoV-2
    Language English
    Publishing date 2022-05-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2500949-7
    ISSN 1759-4685 ; 1674-2788
    ISSN (online) 1759-4685
    ISSN 1674-2788
    DOI 10.1093/jmcb/mjac034
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Double insult: flu bug enhances SARS-CoV-2 infectivity.

    Su, Shan / Liu, Zezhong / Jiang, Shibo

    Cell research

    2021  Volume 31, Issue 5, Page(s) 491–492

    MeSH term(s) COVID-19 ; Coinfection ; Humans ; Influenza A virus ; SARS-CoV-2
    Language English
    Publishing date 2021-03-23
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1319303-x
    ISSN 1748-7838 ; 1001-0602
    ISSN (online) 1748-7838
    ISSN 1001-0602
    DOI 10.1038/s41422-021-00498-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  7. Article ; Online: Correction to "A Simple, Yet Multifunctional, Nanoformulation for Eradicating Tumors and Preventing Recurrence with Safely Low Administration Dose".

    Liu, Yan / Xu, Yawen / Zhang, Zezhong / Huo, Yingying / Chen, Dexin / Ma, Wei / Sun, Kang / Tonga, Gulen Yesilbag / Zhou, Guangdong / Kohane, Daniel S / Tao, Ke

    Nano letters

    2024  

    Language English
    Publishing date 2024-04-28
    Publishing country United States
    Document type Published Erratum
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.4c01876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Co-assembly of graphene/polyoxometalate films for highly electrocatalytic and sensing hydroperoxide.

    Bao, Yayan / Chen, Zezhong / Wang, Yuzhen / Liu, Lizhen / Wang, Haiyan / Li, Zuopeng / Feng, Feng

    Frontiers in chemistry

    2023  Volume 11, Page(s) 1199135

    Abstract: Graphene oxide (GO) films mixed with polyethylenimine (PEI) were prepared by a layer-by-layer assembly (LBL) method, in which the GO component is then converted to reduced GO (rGO) ...

    Abstract Graphene oxide (GO) films mixed with polyethylenimine (PEI) were prepared by a layer-by-layer assembly (LBL) method, in which the GO component is then converted to reduced GO (rGO)
    Language English
    Publishing date 2023-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2023.1199135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Perinatal Stroke in a Chinese Neonatal Center: Clinical Characteristics, Long-Term Outcomes, and Prognostic Factors.

    Xia, Qianqian / Guo, Fa / Hou, Xinlin / Tang, Zezhong / Liu, Lili

    Pediatric neurology

    2023  Volume 148, Page(s) 111–117

    Abstract: Background: Neonatal stroke manifests atypically and can potentially result in significant neurological sequelae in affected infants. Studies on long-term neurodevelopmental outcomes and prognostic factors are limited. We aimed to assess the clinical ... ...

    Abstract Background: Neonatal stroke manifests atypically and can potentially result in significant neurological sequelae in affected infants. Studies on long-term neurodevelopmental outcomes and prognostic factors are limited. We aimed to assess the clinical characteristics, long-term outcomes, and prognostic factors of perinatal stroke.
    Methods: Patients diagnosed with perinatal stroke were enrolled from 2009 to 2018. Clinical data including general information, clinical manifestations, and risk factors were collected and compared. Follow-up was performed for at least two years. Statistical analysis was performed using the chi-square test, t tests, and logistic regression analysis.
    Results: Sixty-nine cases were identified with an incidence of one of 2049 live births (51 boys and 18 girls). Twenty-seven patients (39%) experienced perinatal ischemic stroke (PIS) and 42 (61%) perinatal hemorrhagic stroke (PHS). In 48 cases (69%) onset involved acute symptomatic stroke (21 ischemic strokes and 27 hemorrhagic strokes). Seizures within 12 to 72 hours (20 cases, 29%) were the most common presentations. Most (57%) perinatal arterial ischemic strokes focused on the left middle cerebral artery. About 43% of PHS was diagnosed with temporal lobe hemorrhage, and 40% of patients exhibited multiple lesions of cerebral parenchymal hemorrhage. There was no association between adverse prognosis after perinatal stroke and different risk factors. During follow-up, six patients (10%) were dead and 22 patients (35%) experienced adverse neurodevelopmental outcomes.
    Conclusions: More infants exhibited hemorrhagic stroke than ischemic stroke. Among infants with asymptomatic perinatal stroke, PHS was more common. The first symptom of perinatal stroke within 12 to 72 hours after birth is convulsions, with the left middle cerebral artery and the temporal lobe being the most common lesion sites for ischemic and hemorrhagic strokes, respectively. PIS was more likely to achieve adverse outcomes.
    Language English
    Publishing date 2023-08-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639164-3
    ISSN 1873-5150 ; 0887-8994
    ISSN (online) 1873-5150
    ISSN 0887-8994
    DOI 10.1016/j.pediatrneurol.2023.08.024
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    Zs.A 2260: Show issues Location:
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  10. Article: Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs.

    Liu, Jiajia / Zhou, Zhihui / Kong, Shanshan / Ma, Zezhong

    Frontiers in oncology

    2022  Volume 12, Page(s) 956705

    Abstract: The optimization of drug properties in the process of cancer drug development is very important to save research and development time and cost. In order to make the anti-breast cancer drug candidates with good biological activity, this paper collected ... ...

    Abstract The optimization of drug properties in the process of cancer drug development is very important to save research and development time and cost. In order to make the anti-breast cancer drug candidates with good biological activity, this paper collected 1974 compounds, firstly, the top 20 molecular descriptors that have the most influence on biological activity were screened by using XGBoost-based data feature selection; secondly, on this basis, take pIC50 values as feature data and use a variety of machine learning algorithms to compare, soas to select a most suitable algorithm to predict the IC50 and pIC50 values. It is preliminarily found that the effects of Random Forest, XGBoost and Gradient-enhanced algorithms are good and have little difference, and the Support vector machine is the worst. Then, using the Semi-automatic parameter adjustment method to adjust the parameters of Random Forest, XGBoost and Gradient-enhanced algorithms to find the optimal parameters. It is found that the Random Forest algorithm has high accuracy and excellent anti over fitting, and the algorithm is stable. Its prediction accuracy is 0.745. Finally, the accuracy of the results is verified by training the model with the preliminarily selected data, which provides an innovative solution for the optimization of the properties of anti- breast cancer drugs, and can provide better support for the early research and development of anti-breast cancer drugs.
    Language English
    Publishing date 2022-07-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.956705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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