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  • Bentham Science Publishers Ltd.  (7)
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  • Bentham Science Publishers Ltd.  (7)
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  • 1
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2018
    In:  Combinatorial Chemistry & High Throughput Screening Vol. 21, No. 4 ( 2018-05-25), p. 292-297
    In: Combinatorial Chemistry & High Throughput Screening, Bentham Science Publishers Ltd., Vol. 21, No. 4 ( 2018-05-25), p. 292-297
    Abstract: In recent years, Staphylococcus aureus have developed resistance to medicines used for the treatment of human infections. Therefore, the search for antibacterial agents of high potency against Staphylococcus aureus is of great concern. Peptide deformylase (PDF), a metalloprotease catalyzing the removal of a formyl group from newly synthesized proteins, has been considered to be an important antibacterial drug target. Objective: To discover novel antibacterial drugs based on Staphylococcus aureus peptide deformylase. Method: PDF-based virtual screening of compounds from Traditional Chinese Medicine Database@Taiwan was performed by Sybyl X2.1 Surflex dock software. Compounds which possess high docking score were used for the following antibacterial experiments to evaluate their antibacterial activities. Kanamycin was also used in the antibacterial experiment as a control substance in the assay. Furthermore, molecular docking studies was applied to elucidate binding interaction between some compounds and PDF. In silico pharmacokinetic and toxicity prediction was explored to explain the reasons why these compounds might stand good chance of providing some pharmaceutical benefits. Results: Gentiopicroside, protosappanin B, dihydromyricetin and cryptochlorogenic acid with high docking score were used for our subsequent antibacterial assays. The Minimum Inhibitory Concentration (MIC) of kanamycin and gentiopicroside were 0.008 mg·mL-1 and 0.431 mg·mL-1, respectively, other three compounds, protosappanin B, dihydromyricetin and cryptochlorogenic acid have close MIC value of 0.50 mg·mL-1. Conclusion: Dihydromyricetin, with the MIC value of 0.50 mg·mL-1 and relatively high drug score of 0.82, may serve as a novel antibacterial lead compound.
    Type of Medium: Online Resource
    ISSN: 1386-2073
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2018
    SSG: 15,3
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  • 2
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2018
    In:  Current Computer-Aided Drug Design Vol. 14, No. 1 ( 2018-03-21), p. 95-101
    In: Current Computer-Aided Drug Design, Bentham Science Publishers Ltd., Vol. 14, No. 1 ( 2018-03-21), p. 95-101
    Type of Medium: Online Resource
    ISSN: 1573-4099
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2018
    SSG: 15,3
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  • 3
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2024
    In:  Combinatorial Chemistry & High Throughput Screening Vol. 27, No. 5 ( 2024-03), p. 650-660
    In: Combinatorial Chemistry & High Throughput Screening, Bentham Science Publishers Ltd., Vol. 27, No. 5 ( 2024-03), p. 650-660
    Abstract: Gene expression profile data is a good data source for people to study tumors, but gene expression data has the characteristics of high dimension and redundancy. Therefore, gene selection is a very important step in microarray data classification. Method: In this paper, a feature selection method based on the maximum mutual information coefficient and graph theory is proposed. Each feature of gene expression data is treated as a vertex of the graph, and the maximum mutual information coefficient between genes is used to measure the relationship between the vertices to construct an undirected graph, and then the core and coritivity theory is used to determine the feature subset of gene data. Results: In this work, we used three different classification models and three different evaluation metrics such as accuracy, F1-Score, and AUC to evaluate the classification performance to avoid reliance on any one classifier or evaluation metric. The experimental results on six different types of genetic data show that our proposed algorithm has high accuracy and robustness compared to other advanced feature selection methods. Conclusion: In this method, the importance and correlation of features are considered at the same time, and the problem of gene selection in microarray data classification is solved.
    Type of Medium: Online Resource
    ISSN: 1386-2073
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2024
    SSG: 15,3
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2024
    In:  Letters in Organic Chemistry Vol. 21, No. 8 ( 2024-06), p. 720-726
    In: Letters in Organic Chemistry, Bentham Science Publishers Ltd., Vol. 21, No. 8 ( 2024-06), p. 720-726
    Abstract: N1-caffeoyl-N10-dihydrocaffeoylspermidine (Scotanamine D), a spermidine alkaloid isolated from various plants, is a medicinally valuable natural product. Recent studies have pointed out several health benefits of this compound. However, its synthetic procedures are still not described in the literature. We report the synthesis of this compound following two different schemes comprising multiple steps with excellent overall yields, which are 57% and 81%, respectively. These two synthetic schemes, which use commercially available and cheaper starting materials, can facilitate the large-scale manufacturing of Scotanamine D.
    Type of Medium: Online Resource
    ISSN: 1570-1786
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2024
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  • 5
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2022
    In:  Combinatorial Chemistry & High Throughput Screening Vol. 25, No. 3 ( 2022-03), p. 579-585
    In: Combinatorial Chemistry & High Throughput Screening, Bentham Science Publishers Ltd., Vol. 25, No. 3 ( 2022-03), p. 579-585
    Abstract: Blood pressure is vital evidence for clinicians to predict diseases and check the curative effect of diagnosis and treatment. To further improve the prediction accuracy of blood pressure, this paper proposes a combined prediction model of blood pressure based on coritivity theory and photoplethysmography. Method: First of all, we extract eight features of photoplethysmogram, followed by using eight machine learning prediction algorithms, such as K-nearest neighbor, classification and regression trees, and random forest, to predict systolic blood pressure. Secondly, aiming at the problem of sub-model selection of combination forecasting model, from the point of graph theory, we construct an undirected network graph G, the results of each single prediction model constitute a vertex set. If the maximum mutual information coefficient between vertices is greater than or equal to 0.69, the vertices are connected by edges. The maximum core of graph G is a submodel of the combinatorial model. Results: According to the definition of core and coritivity, the maximum core of G is random forest regression and Gaussian kernel support vector regression model. The results show that the SDP estimation error of the combined prediction model based on random forest regression and Gaussian kernel support vector regression is 3.56 ±5.28mmhg, which is better than other single models and meets the AAMI standards. Conclusion: The combined model determined by core and coritivity has higher prediction performance for blood pressure.
    Type of Medium: Online Resource
    ISSN: 1386-2073
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2022
    SSG: 15,3
    Location Call Number Limitation Availability
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  • 6
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2023
    In:  Combinatorial Chemistry & High Throughput Screening Vol. 26 ( 2023-03-31)
    In: Combinatorial Chemistry & High Throughput Screening, Bentham Science Publishers Ltd., Vol. 26 ( 2023-03-31)
    Abstract: Although esophageal carcinoma (EC) is one of the most common cancers in the world, details of its pathogenesis remain unclear. Metabolic reprogramming is a main feature of EC. Mitochondrial dysfunction, especially the decrease in mitochondrial complex I (MTCI), plays an important role in the occurrence and development of EC. Objective:: The objective of the study was to analyze and validate the metabolic abnormalities and the role of MTCI in esophageal squamous cell carcinoma. Methods:: In this work, we collected transcriptomic data from 160 esophageal squamous carcinoma samples and 11 normal tissue samples from The Cancer Genome Atlas (TCGA). The OmicsBean and GEPIA2 were used to conduct an analysis of differential gene expression and survival in clinical samples. Rotenone was used to inhibit the MTCI activity. Subsequently, we detected lactate production, glucose uptake, and ATP production. method: In this work, we collected transcriptomic data from 160 esophageal squamous carcinoma samples and 11 normal tissue samples from The Cancer Genome Atlas (TCGA). The OmicsBean and GEPIA2 was used to conduct analysis of differential gene expression and survival in clinical samples. Rotenone was used to inhibit the MTCI activity. Subsequently, we detected lactate production, glucose uptake, and ATP production. Results:: A total of 1710 genes were identified as being significantly differentially expressed. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analysis suggested that these differentially expressed genes (DEGs) were significantly enriched in various pathways related to carcinoma tumorigenesis and progression. Moreover, we further identified abnormalities in metabolic pathways, in particular, the significantly low expression of multiple subunits of MTCI genes (ND1, ND2, ND3, ND4, ND4L, ND5, and ND6). Rotenone was used to inhibit the MTCI activity of EC109 cells, and it was found that the decrease in MTCI activity promoted HIF1A expression, glucose consumption, lactate production, ATP production, and cell migration. Conclusion:: Our results indicated the occurrence of abnormal metabolism involving decreased mitochondrial complex I activity and increased glycolysis in esophageal squamous cell carcinoma (ESCC), which might be related to its development and degree of malignancy. conclusion: Our results indicate the occurrence of abnormal metabolism involving decreased mitochondrial complex I activity and increased glycolysis in esophageal squamous cell carcinoma (ESCC), which may be related to its development and degree of malignancy.
    Type of Medium: Online Resource
    ISSN: 1386-2073
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2023
    SSG: 15,3
    Location Call Number Limitation Availability
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  • 7
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2024
    In:  Letters in Organic Chemistry Vol. 21, No. 4 ( 2024-04), p. 386-390
    In: Letters in Organic Chemistry, Bentham Science Publishers Ltd., Vol. 21, No. 4 ( 2024-04), p. 386-390
    Abstract: Caffeoyl spermidines are valuable alkaloids naturally existing in many plant species. These alkaloids are characterized as pharmacologically important ingredients of many plant extracts used in traditional medicines. Bis-caffeoylspermidine and bis-dihydrocaffeoylspermidine exhibit antioxidant, anti-inflammatory, and enzyme inhibition properties that make them valuable natural sources of safer therapeutic agents. However, the limited availability of these compounds in nature derives the attention of synthetic chemists. Therefore, we synthesized bis-caffeoylspermidine and bisdihydrocaffeoylspermidine using cheaper and commercially available starting materials in 97% and 86% overall yields, respectively. The synthetic scheme can be upgraded to the commercial-scale synthesis of these compounds
    Type of Medium: Online Resource
    ISSN: 1570-1786
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2024
    Location Call Number Limitation Availability
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