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  • Open Access

    ARTICLE

    Comprehensive bioinformatics analysis of CYB561 expression in breast cancer: Link between prognosis and immune infiltration

    XI YANG1,5,#, HUIXIAN WU2,3,#, CHAO XIONG4,#, BO ZHAO1, MEILIAN LIU1, JIE QIN6, MEI DENG1,2,3,*

    BIOCELL, Vol.47, No.5, pp. 1021-1037, 2023, DOI:10.32604/biocell.2023.027103 - 10 April 2023

    Abstract Background: Cytochrome b561 (CYB561) plays a critical role in neuroendocrine function, cardiovascular regulation, and tumor growth; however, the prognostic value of CYB561 in patients with breast cancer and the relationship between CYB561 expression and immune infiltration in breast cancer remain unclear. Methods: The mRNA expression and clinical data of patients with breast cancer were obtained from The Cancer Genome Atlas database. Functional enrichment analysis was used to explore underlying biological functions associated with CYB561. The methylation status of CYB561 was analyzed using the MethSurv database. The enrichment score of immune cell infiltration for CYB561 in breast… More >

  • Open Access

    ARTICLE

    Deep Learning Algorithm for Detection of Protein Remote Homology

    Fahriye Gemci1,*, Turgay Ibrikci2, Ulus Cevik3

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3703-3713, 2023, DOI:10.32604/csse.2023.032706 - 03 April 2023

    Abstract The study aims to find a successful solution by using computer algorithms to detect remote homologous proteins, which is a significant problem in the bioinformatics field. In this experimental study, structural classification of proteins (SCOP) 1.53, SCOP benchmark, and the newly created SCOP protein database from the structural classification of proteins—extended (SCOPe) 2.07 were used to detect remote homolog proteins. N-gram method and then Term Frequency-Inverse Document Frequency (TF-IDF) weighting were performed to extract features of the protein sequences taken from these databases. Next, a smoothing process on the obtained features was performed to avoid… More >

  • Open Access

    ARTICLE

    Big Data Bot with a Special Reference to Bioinformatics

    Ahmad M. Al-Omari1,*, Shefa M. Tawalbeh1, Yazan H. Akkam2, Mohammad Al-Tawalbeh3, Shima’a Younis1, Abdullah A. Mustafa4, Jonathan Arnold5

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4155-4173, 2023, DOI:10.32604/cmc.2023.036956 - 31 March 2023

    Abstract There are quintillions of data on deoxyribonucleic acid (DNA) and protein in publicly accessible data banks, and that number is expanding at an exponential rate. Many scientific fields, such as bioinformatics and drug discovery, rely on such data; nevertheless, gathering and extracting data from these resources is a tough undertaking. This data should go through several processes, including mining, data processing, analysis, and classification. This study proposes software that extracts data from big data repositories automatically and with the particular ability to repeat data extraction phases as many times as needed without human intervention. This… More >

  • Open Access

    ARTICLE

    Sequence-Based Predicting Bacterial Essential ncRNAs Algorithm by Machine Learning

    Yuan-Nong Ye1,2,3,*, Ding-Fa Liang2, Abraham Alemayehu Labena4, Zhu Zeng2,*

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2731-2741, 2023, DOI:10.32604/iasc.2023.026761 - 15 March 2023

    Abstract Essential ncRNA is a type of ncRNA which is indispensable for the survival of organisms. Although essential ncRNAs cannot encode proteins, they are as important as essential coding genes in biology. They have got wide variety of applications such as antimicrobial target discovery, minimal genome construction and evolution analysis. At present, the number of species required for the determination of essential ncRNAs in the whole genome scale is still very few due to the traditional methods are time-consuming, laborious and costly. In addition, traditional experimental methods are limited by the organisms as less than 1%… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Analysis of the Phytocyanin Gene Family in Nicotiana tabacum

    Peiling Wang1,#, Xiaohong Xu2,#, Yong Li2, Hecui Zhang1, Xuejie Zhang3, Siru Zhou1, Yimei Liu1, Yunyan Feng1, Tonghong Zuo1, Liquan Zhu1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1469-1492, 2023, DOI:10.32604/phyton.2023.027133 - 09 March 2023

    Abstract Phytocyanin (PC) is a class of plant-specific blue copper proteins involved in electron transport, plant growth, development, and stress resistance. However, PC proteins have not been systematically evaluated in tobacco plants. We determined the whole-genome sequences of the PC family in the tobacco cultivar ‘K326.’ The transcriptome data were used to analyze the expression of the NtPC family at different development stages and tissue-specific genes. Real-time fluorescence quantitative analysis was used to analyze the expression of the NtPC gene family under low temperature and methyl jasmonate stress. The tobacco NtPC family contained 110 members and was divided… More >

  • Open Access

    REVIEW

    Transcriptional factor RUNX1: A potential therapeutic target for fibrotic pulmonary disease

    JIA LIU1,2,#, FAPING WANG1,2,#, BO YUAN3, FENGMING LUO1,2,*

    BIOCELL, Vol.47, No.4, pp. 697-705, 2023, DOI:10.32604/biocell.2023.026148 - 08 March 2023

    Abstract Runt-related transcription factor-1 (RUNX1), also known as the core-binding factor alpha 2 subunit, is closely related to human leukemia. The functions of RUNX1 in modulating cell proliferation, differentiation, and survival in multiple systems have been gradually discovered with the emergence of transgenic mice. RUNX1 is a powerful transcription factor implicated in diverse signaling pathways and cellular mechanisms that participate in lung development and pulmonary diseases. RUNX1 has recently been identified as a target regulator of fibrotic remodeling diseases, particularly in the kidney. However, the role of RUNX1 in pulmonary fibrosis is unclear. Pulmonary fibrosis is More >

  • Open Access

    ARTICLE

    Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

    QING GAO1,#, YUJING SHI2,#, YUANYUAN SUN1,#, SHU ZHOU1, ZEYUAN LIU3, XINCHEN SUN1,*, XIAOKE DI1,*

    Oncology Research, Vol.31, No.1, pp. 35-61, 2023, DOI:10.32604/or.2022.028193 - 01 March 2023

    Abstract Aging is highly associated with tumor formation and progression. However, little research has explored the association of aging-related lncRNAs (ARLs) with the prognosis and tumor immune microenvironment (TIME) of head and neck squamous cell carcinoma (HNSCC). RNA sequences and clinicopathological data of HNSCC patients and normal subjects were downloaded from The Cancer Genome Atlas. In the training group, we used Pearson correlation, univariate Cox regression, least absolute shrinkage/selection operator regression analyses, and multivariate Cox regression to build a prognostic model. In the test group, we evaluated the model. Multivariate Cox regression was done to screen… More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Mathematical Aspects of Computational Biology and Bioinformatics

    Dumitru Baleanu1,2,*, Carla M. A. Pinto3, Sunil Kumar4

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 1-3, 2023, DOI:10.32604/cmes.2023.026471 - 05 January 2023

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    A model based on eight iron metabolism-related genes accurately predicts acute myeloid leukemia prognosis

    ZHANSHU LIU1, XI HUANG2,*

    BIOCELL, Vol.47, No.3, pp. 593-605, 2023, DOI:10.32604/biocell.2023.024148 - 03 January 2023

    Abstract Purpose: Iron metabolism maintains the balance between iron absorption and excretion. Abnormal iron metabolism can cause numerous diseases, including tumor. This study determined the iron metabolism-related genes (IMRGs) signature that can predict the prognosis of acute myeloid leukemia (AML). The roles of these genes in the immune microenvironment were also explored. Methods: A total of 514 IMRGs were downloaded from the Molecular Characteristics Database (MSigDB). IMRGs related to AML prognosis were identified using Cox regression and LASSO analyses and were used to construct the risk score model. AML patients were stratified into high-risk groups (cluster 1)… More >

  • Open Access

    ARTICLE

    Bioinformatics and Functional Analysis of High Oleic Acid-Related Gene GmSAM22 in Soybean [Glycine max (L.) Merr.]

    Shuo Qu1, Qi Cai2, Huimin Cui1, Lamboro Abraham1, Yaolei Jiao1, Guilong Ma2, Piwu Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.2, pp. 501-519, 2023, DOI:10.32604/phyton.2022.023479 - 12 October 2022

    Abstract High yield, high quality, stable yield, adaptability to growth period, and modern mechanization are the basic requirements for crops in the 21st century. Soybean oleic acid is a natural unsaturated fatty acid with strong antioxidant properties and stability. Known as a safe fatty acid, it has the ability to successfully prevent cardiovascular and cerebrovascular disorders. Improving the fatty acid composition of soybean seeds, can not only speed up the breeding process of high-quality high-oil and high-oleic soybeans, but also have important significance in human health, and provide the possibility for the development of soybean oil… More >

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