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  1. Book ; Online: The nutrition and health potential of geographical indication foods

    Liu, Bin

    2021  

    Institution FAO
    Author's details Food and Agriculture Organization of the United Nations ; this paper was written by Bin Liu
    Language English
    Size 1 Online-Ressource (ix, 78 Seiten), Illustrationen, Diagramme
    Publisher Food and Agriculture Organization of the United Nations
    Publishing place Rome
    Publishing country Italy
    Document type Book ; Online
    Note Open Access
    HBZ-ID HT020944306
    ISBN 978-92-5-134160-5 ; 92-5-134160-5
    DOI 10.4060/cb3913en
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Conjugated polymers for biological and biomedical applications

    Liu, Bin

    2018  

    Author's details edited by Bin Liu
    Keywords Bildgebende Verfahren i. d. Biomedizin ; Biomedical Engineering ; Biomedical Imaging ; Biomedizin ; Biomedizintechnik ; Charakterisierung von Polymeren ; Chemie ; Chemistry ; Konjugierte Polymere ; Pharmaceutical & Medicinal Chemistry ; Pharmazeutische u. Medizinische Chemie ; Polymer Characterization ; Polymer Science & Technology ; Polymerwissenschaft u. -technologie ; BE70: Bildgebende Verfahren i. d. Biomedizin ; CH60: Pharmazeutische u. Medizinische Chemie ; PY40: Charakterisierung von Polymeren
    Subject code 540
    Language English
    Size Online-Ressource (xiii, 410 Seiten), Illusttrationen, Diagramme
    Publisher Wiley-VCH
    Publishing place Weinheim
    Publishing country Germany
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019802507
    ISBN 978-3-527-34278-5 ; 3-527-34278-8 ; 9783527342730 ; 3527342737
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Thesis: Data mining and CRISPR/Cas9 gene editing system in pancreatic cancer research

    Liu, Bin

    = Data Mining und CRISPR/Cas9-Gene-Editing in der Pankreaskrebsforschung

    2019  

    Title variant Data Mining und CRISPR/Cas9-Gene-Editing in der Pankreaskrebsforschung
    Author's details vorgelegt von Bin Liu
    Language English
    Size III, 53 Seiten, Illustrationen, Diagramme, 30 cm
    Publishing place Erlangen ; Nürnberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg, 2019
    Note Enthält 2 Sonderabdrucke aus Zeitschriften
    HBZ-ID HT020374550
    Database Catalogue ZB MED Medicine, Health

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  4. Book: Yeast surface display

    Liu, Bin

    methods, protocols, and applications

    (Methods in molecular biology ; 1319 ; Springer protocols)

    2015  

    Author's details ed. by Bin Liu
    Series title Methods in molecular biology ; 1319
    Springer protocols
    Collection
    Language English
    Size XI, 271 S., Ill., graph. Darst.
    Publisher Humana Press
    Publishing place New York, NY u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT019268673
    ISBN 978-1-4939-2747-0 ; 978-1-4939-4667-9 ; 9781493927487 ; 1-4939-2747-7 ; 1-4939-4667-6 ; 1493927485
    Database Catalogue ZB MED Medicine, Health

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  5. Book: Microinjection

    Liu, Chengyu / Du, Yubin

    methods and protocols

    (Methods in molecular biology ; 1874 ; Springer protocols)

    2019  

    Author's details edited by Chengyu Liu, Yubin Du
    Series title Methods in molecular biology ; 1874
    Springer protocols
    Collection
    Language English
    Size xiv, 540 Seiten, Illustrationen
    Publisher Humana Press
    Publishing place New York
    Publishing country United States
    Document type Book
    HBZ-ID HT019927963
    ISBN 978-1-4939-8830-3 ; 9781493988310 ; 1-4939-8830-1 ; 149398831X
    Database Catalogue ZB MED Medicine, Health

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  6. Article ; Online: Theory and method of spatiotemporal analysis, modeling and inversion of vertical GNSS coordinate time series based on independent component analysis

    LIU Bin

    Acta Geodaetica et Cartographica Sinica, Vol 51, Iss 5, Pp 783-

    2022  Volume 783

    Keywords Mathematical geography. Cartography ; GA1-1776
    Language Chinese
    Publishing date 2022-05-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: AP39, a novel mitochondria-targeted hydrogen sulfide donor ameliorates doxorubicin-induced cardiotoxicity by regulating the AMPK/UCP2 pathway.

    Zhang, Bin / Li, Yangxue / Liu, Ning / Liu, Bin

    PloS one

    2024  Volume 19, Issue 4, Page(s) e0300261

    Abstract: Doxorubicin (DOX) is a broad-spectrum, highly effective antitumor agent; however, its cardiotoxicity has greatly limited its use. Hydrogen sulfide (H2S) is an endogenous gaseous transmitter that exerts cardioprotective effects via the regulation of ... ...

    Abstract Doxorubicin (DOX) is a broad-spectrum, highly effective antitumor agent; however, its cardiotoxicity has greatly limited its use. Hydrogen sulfide (H2S) is an endogenous gaseous transmitter that exerts cardioprotective effects via the regulation of oxidative stress and apoptosis and maintenance of mitochondrial function, among other mechanisms. AP39 is a novel mitochondria-targeted H2S donor that, at appropriate concentrations, attenuates intracellular oxidative stress damage, maintains mitochondrial function, and ameliorates cardiomyocyte injury. In this study, DOX-induced cardiotoxicity models were established using H9c2 cells and Sprague-Dawley rats to evaluate the protective effect of AP39 and its mechanisms of action. Both in vivo and in vitro experiments showed that DOX induces oxidative stress injury, apoptosis, and mitochondrial damage in cardiomyocytes and decreases the expression of p-AMPK/AMPK and UCP2. All DOX-induced changes were attenuated by AP39 treatment. Furthermore, the protective effect of AP39 was significantly attenuated by the inhibition of AMPK and UCP2. The results suggest that AP39 ameliorates DOX-induced cardiotoxicity by regulating the expression of AMPK/UCP2.
    MeSH term(s) Rats ; Animals ; Hydrogen Sulfide/pharmacology ; Hydrogen Sulfide/metabolism ; Cardiotoxicity/drug therapy ; Cardiotoxicity/etiology ; Cardiotoxicity/prevention & control ; AMP-Activated Protein Kinases/metabolism ; Rats, Sprague-Dawley ; Cell Line ; Doxorubicin/toxicity ; Myocytes, Cardiac/metabolism ; Oxidative Stress ; Mitochondria/metabolism ; Apoptosis
    Chemical Substances Hydrogen Sulfide (YY9FVM7NSN) ; AMP-Activated Protein Kinases (EC 2.7.11.31) ; Doxorubicin (80168379AG)
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0300261
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Effects of high-intensity interval training on strength, speed, and endurance performance among racket sports players: A systematic review.

    Liu, Yixuan / Abdullah, Borhannudin Bin / Abu Saad, Hazizi Bin

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0295362

    Abstract: This study aims to present a critical review of the existing literature on the effects of High-Intensity Interval Training (HIIT) on strength, speed, and endurance performance among racket sports athletes. This study conducted a systematic literature ... ...

    Abstract This study aims to present a critical review of the existing literature on the effects of High-Intensity Interval Training (HIIT) on strength, speed, and endurance performance among racket sports athletes. This study conducted a systematic literature review by PRISMA guidelines. Various well-known academic and scientific databases were used for research collection, including PubMed, EBSCOhost, Scopus, Web of Science, and Google Scholar. Out of 27 relevant studies, 10 were selected for inclusion in this systematic review, all meeting the required inclusion criteria. The quality of each study was assessed using the PEDro scale, with scores ranging from 3 to 5 for the selected studies. HIIT was found to improve racket players' VO2 max (maximum oxygen uptake), running and repetitive sprint performance, jumping performance, and hitting speed during play. Current findings indicate that HIIT can significantly benefit athletic performance. Long-term HIIT allows athletes to enhance their power while improving crucial variables related to both aerobic and anaerobic endurance. This anaerobic endurance and explosive power type is particularly vital for racket sports players. For example, athletes in table tennis and badminton must exert maximum effort during high-intensity middle and back-court play. Racket athletes also need to maintain a stable state while preserving ball speed and positioning, and must quickly recover to prepare for the next rally. This training mechanism can assist athletes in honing their skills and achieving more efficient hitting quality. Therefore, this paper recommends that racket sports athletes incorporate HIIT into their regular training routines. The suggested frequency is three times per week, with each training session lasting 30-40 minutes, and a total duration of six to eight weeks. Trial registration. Systematic Review Registration: [https://inplasy.com/], identififier[INPLASY20230080].
    MeSH term(s) Humans ; High-Intensity Interval Training ; Oxygen ; Oxygen Consumption ; Racquet Sports ; Tennis
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2024-01-05
    Publishing country United States
    Document type Systematic Review ; Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0295362
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: DisoFLAG

    Yihe Pang / Bin Liu

    BMC Biology, Vol 22, Iss 1, Pp 1-

    accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model

    2024  Volume 15

    Abstract: Abstract Intrinsically disordered proteins and regions (IDPs/IDRs) are functionally important proteins and regions that exist as highly dynamic conformations under natural physiological conditions. IDPs/IDRs exhibit a broad range of molecular functions, ... ...

    Abstract Abstract Intrinsically disordered proteins and regions (IDPs/IDRs) are functionally important proteins and regions that exist as highly dynamic conformations under natural physiological conditions. IDPs/IDRs exhibit a broad range of molecular functions, and their functions involve binding interactions with partners and remaining native structural flexibility. The rapid increase in the number of proteins in sequence databases and the diversity of disordered functions challenge existing computational methods for predicting protein intrinsic disorder and disordered functions. A disordered region interacts with different partners to perform multiple functions, and these disordered functions exhibit different dependencies and correlations. In this study, we introduce DisoFLAG, a computational method that leverages a graph-based interaction protein language model (GiPLM) for jointly predicting disorder and its multiple potential functions. GiPLM integrates protein semantic information based on pre-trained protein language models into graph-based interaction units to enhance the correlation of the semantic representation of multiple disordered functions. The DisoFLAG predictor takes amino acid sequences as the only inputs and provides predictions of intrinsic disorder and six disordered functions for proteins, including protein-binding, DNA-binding, RNA-binding, ion-binding, lipid-binding, and flexible linker. We evaluated the predictive performance of DisoFLAG following the Critical Assessment of protein Intrinsic Disorder (CAID) experiments, and the results demonstrated that DisoFLAG offers accurate and comprehensive predictions of disordered functions, extending the current coverage of computationally predicted disordered function categories. The standalone package and web server of DisoFLAG have been established to provide accurate prediction tools for intrinsic disorders and their associated functions.
    Keywords Protein intrinsic disorder ; Disordered function prediction ; Protein language model ; Graph-based interaction protein language model ; Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: DisoFLAG: accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model.

    Pang, Yihe / Liu, Bin

    BMC biology

    2024  Volume 22, Issue 1, Page(s) 3

    Abstract: Intrinsically disordered proteins and regions (IDPs/IDRs) are functionally important proteins and regions that exist as highly dynamic conformations under natural physiological conditions. IDPs/IDRs exhibit a broad range of molecular functions, and their ...

    Abstract Intrinsically disordered proteins and regions (IDPs/IDRs) are functionally important proteins and regions that exist as highly dynamic conformations under natural physiological conditions. IDPs/IDRs exhibit a broad range of molecular functions, and their functions involve binding interactions with partners and remaining native structural flexibility. The rapid increase in the number of proteins in sequence databases and the diversity of disordered functions challenge existing computational methods for predicting protein intrinsic disorder and disordered functions. A disordered region interacts with different partners to perform multiple functions, and these disordered functions exhibit different dependencies and correlations. In this study, we introduce DisoFLAG, a computational method that leverages a graph-based interaction protein language model (GiPLM) for jointly predicting disorder and its multiple potential functions. GiPLM integrates protein semantic information based on pre-trained protein language models into graph-based interaction units to enhance the correlation of the semantic representation of multiple disordered functions. The DisoFLAG predictor takes amino acid sequences as the only inputs and provides predictions of intrinsic disorder and six disordered functions for proteins, including protein-binding, DNA-binding, RNA-binding, ion-binding, lipid-binding, and flexible linker. We evaluated the predictive performance of DisoFLAG following the Critical Assessment of protein Intrinsic Disorder (CAID) experiments, and the results demonstrated that DisoFLAG offers accurate and comprehensive predictions of disordered functions, extending the current coverage of computationally predicted disordered function categories. The standalone package and web server of DisoFLAG have been established to provide accurate prediction tools for intrinsic disorders and their associated functions.
    MeSH term(s) Amino Acid Sequence ; Intrinsically Disordered Proteins/chemistry ; Protein Conformation ; Protein Binding ; Language
    Chemical Substances Intrinsically Disordered Proteins
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2133020-7
    ISSN 1741-7007 ; 1741-7007
    ISSN (online) 1741-7007
    ISSN 1741-7007
    DOI 10.1186/s12915-023-01803-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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