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  • Bentham Science Publishers Ltd.  (6)
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  • Bentham Science Publishers Ltd.  (6)
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  • 1
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2019
    In:  Letters in Organic Chemistry Vol. 16, No. 4 ( 2019-03-20), p. 263-274
    In: Letters in Organic Chemistry, Bentham Science Publishers Ltd., Vol. 16, No. 4 ( 2019-03-20), p. 263-274
    Abstract: Protein-protein interactions play an important role in biological and cellular processes. Biochemistry experiment is the most reliable approach identifying protein-protein interactions, but it is time-consuming and expensive. It is one of the important reasons why there is only a little fraction of complete protein-protein interactions networks available by far. Hence, accurate computational methods are in a great need to predict protein-protein interactions. In this work, we proposed a new weighted fea ture fusion algorithm for protein-protein interactions prediction, which extracts both protein sequence feature and evolutionary feature, for the purpose to use both global and local information to identify protein-protein interactions. The method employs maximum margin criterion for feature selection and support vector machine for classification. Experimental results on 11188 protein pairs showed that our method had better performance and robustness. Performed on the independent database of Helicobacter pylori, the method achieved 99.59% sensitivity and 93.66% prediction accuracy, while the maximum margin criterion is 88.03%. The results indicated that our method was more efficient in predicting protein-protein interaction compared with other six state-of-the-art peer methods.
    Type of Medium: Online Resource
    ISSN: 1570-1786
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2019
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  • 2
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2018
    In:  Current Pharmaceutical Biotechnology Vol. 19, No. 5 ( 2018-08-20), p. 428-437
    In: Current Pharmaceutical Biotechnology, Bentham Science Publishers Ltd., Vol. 19, No. 5 ( 2018-08-20), p. 428-437
    Type of Medium: Online Resource
    ISSN: 1389-2010
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2018
    SSG: 15,3
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  • 3
    In: Current Drug Metabolism, Bentham Science Publishers Ltd., Vol. 22, No. 3 ( 2021-04-21), p. 185-197
    Abstract: Vitexin is a natural flavonoid compound with multiple pharmacological activities and is extracted from the leaves and seeds of Vitex negundo L. var. cannabifolia (Sieb. et Zucc.) Hand.-Mazz. However, the metabolite characterization of this component remains insufficient. Objective:: To establish a rapid profiling and identification method for vitexin metabolites in rat urine, plasma and faeces after oral administration using a UHPLC-Q-Exactive orbitrap mass spectrometer were coupled with multiple data-mining methods. Methods:: In this study a simple and rapid systematic strategy for the detection and identification of constituents was proposed based on UHPLC-Q-Exactive Orbitrap mass spectrometry in parallel reaction monitoring mode combining diagnostic fragment ion filtering techniques. Results:: A total of 49 metabolites were fully or partially characterized based on their accurate mass, characteristic fragment ions, retention times, corresponding ClogP values, and so on. It is obvious that C-glycosyl flavonoids often display an [M+H-120] + ion that represents the loss of C 4 H 8 O 4 . As a result, these metabolites were presumed to be generated through glucuronidation, sulfation, deglucosylation, dehydrogenation, methylation, hydrogenation, hydroxylation, ring cleavage and their composite reactions. Moreover, the characteristic fragmentation pathways of flavonoids, chalcones and dihydrochalcones were summarized for the subsequent metabolite identification. Conclusion:: The current study provided an overall metabolic profile of vitexin which will be of great help in predicting the in vivo pharmacokinetic profiles and understanding the action mechanism of this active ingredient.
    Type of Medium: Online Resource
    ISSN: 1389-2002
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2021
    SSG: 15,3
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  • 4
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2023
    In:  Current Organic Chemistry Vol. 27, No. 4 ( 2023-02), p. 248-259
    In: Current Organic Chemistry, Bentham Science Publishers Ltd., Vol. 27, No. 4 ( 2023-02), p. 248-259
    Abstract: Immobilized lipase has played an essential role in the chemical and biological sciences as a viable alternative to standard chemical catalysts. Glutaraldehyde is a low-cost crosslinking agent at risk of being superseded by developing crosslinking compounds with biocompatible, biodegradable, and non-toxic characteristics. The multipoint covalent treatment method using glutaraldehyde has both advantages and disadvantages. Immobilization techniques can be improved to improve the overall performance of immobilized lipase. The most recent update on lipase immobilization with multipoint covalent treatment by glutaraldehyde was summarized in this review. Covalent binding lipase on pre-activated support and aggregation-crosslinking lipase into crosslinked enzyme aggregates (CLEAs) or adsorptioncrosslinking lipase on support are the most common immobilization techniques. Based on the above technologies, the advancement trends in important domains, such as the advancement of supports, additives, reactors, and cross-linking agents, are summarized. In addition, the application of the improved immobilized lipase by glutaraldehyde in the production of fatty acids, glycerides, biodiesel, and drug precursors was reviewed. In view of this, we put forward further studies on multipoint covalent treatment in lipase immobilization with glutaraldehyde. Various analytical methods are required to provide additional information about the structure of glutaraldehyde and its crosslinked products for assisting the proper immobilization conditions. Applying the composite strategy can also bring new opportunities for improving the efficiency of biological catalysts.
    Type of Medium: Online Resource
    ISSN: 1385-2728
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2023
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  • 5
    In: Current Drug Metabolism, Bentham Science Publishers Ltd., Vol. 22, No. 10 ( 2021-08), p. 811-823
    Abstract: Astilbin, a dihydroflavonoid compound widely found in plants, exhibits a variety of pharmacological activities and biological effects. However, little is known about the metabolism of this active compound in vivo, which is very helpful for elucidating the pharmacodynamic material basis and application of astilbin. Objective: To establish a rapid profiling and identification method for metabolites in rat urine, faeces and plasma using a UHPLC-Q-Exactive mass spectrometer in negative ion mode. Methods: In this study, a simple and rapid systematic strategy and 7 metabolite templates, which were established based on previous reports, were utilized to screen and identify astilbin metabolites. Results: As a result, a total of 71 metabolites were detected and characterized, among which 32 metabolites were found in rat urine, while 27 and 38 metabolites were characterized from rat plasma and faeces, respectively. These metabolites were presumed to be generated through ring cleavage, sulfation, dehydrogenation, methylation, hydroxylation, glucuronidation, dehydroxylation and their composite reactions. Conclusion: This study illustrated the capacity of the sensitive UHPLC-Q-Exactive mass spectrometer analytical system combined with the data-mining methods to rapidly elucidate the unknown metabolism. Moreover, the comprehensive metabolism study of astilbin provided an overall metabolic profile, which will be of great help in predicting the in vivo pharmacokinetic profiles and understanding the action mechanism of this active ingredient.
    Type of Medium: Online Resource
    ISSN: 1389-2002
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2021
    SSG: 15,3
    Location Call Number Limitation Availability
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  • 6
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2016
    In:  Anti-Cancer Agents in Medicinal Chemistry Vol. 16, No. 4 ( 2016-02-18), p. 501-518
    In: Anti-Cancer Agents in Medicinal Chemistry, Bentham Science Publishers Ltd., Vol. 16, No. 4 ( 2016-02-18), p. 501-518
    Type of Medium: Online Resource
    ISSN: 1871-5206
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2016
    SSG: 15,3
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