Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (44)
  • Open Access

    ARTICLE

    Bioinformatics Analysis of Disease Resistance Gene PR1 and Its Genetic Transformation in Soybeans and Cultivation of Multi-resistant Materials

    Huimin Cui, Shuo Qu, Abraham Lamboro, Yaolei Jiao, Piwu Wang*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1445-1464, 2022, DOI:10.32604/phyton.2022.020010

    Abstract In agricultural production, a single insect-resistant and disease-resistant variety can no longer meet the demand. In this study, the expression vector pCAMBIA-3301-PR1 containing the disease-resistant gene PR1 was constructed by means of genetic engineering, and the PR1 gene was genetically transformed to contain the PR1 gene through the pollen tube method. In CryAb-8Like transgenic high-generation T7 receptor soybean, a new material that is resistant to insects and diseases is obtained. For T2 transformed plants, routine PCR detection, Southern Blot hybridization, fluorescence quantitative PCR detection, indoor and outdoor pest resistance identification and indoor disease resistance identification were performed. The results showed… More >

  • Open Access

    ARTICLE

    Optimized Deep Learning Model for Colorectal Cancer Detection and Classification Model

    Mahmoud Ragab1,2,3,*, Khalid Eljaaly4, Maha Farouk S. Sabir5, Ehab Bahaudien Ashary6, S. M. Abo-Dahab7,8, E. M. Khalil3,9

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5751-5764, 2022, DOI:10.32604/cmc.2022.024658

    Abstract The recent developments in biological and information technologies have resulted in the generation of massive quantities of data it speeds up the process of knowledge discovery from biological systems. Due to the advancements of medical imaging in healthcare decision making, significant attention has been paid by the computer vision and deep learning (DL) models. At the same time, the detection and classification of colorectal cancer (CC) become essential to reduce the severity of the disease at an earlier stage. The existing methods are commonly based on the combination of textual features to examine the classifier results or machine learning (ML)… More >

  • Open Access

    ARTICLE

    A novel prognostic target-gene signature and nomogram based on an integrated bioinformatics analysis in hepatocellular carcinoma

    RUI XU1, QIBIAO WU1, YUHAN GONG2, YONGZHE WU1, QINGJIA CHI1,*, DA SUN3,*

    BIOCELL, Vol.46, No.5, pp. 1261-1288, 2022, DOI:10.32604/biocell.2022.018427

    Abstract There is currently no effective solution to the problem of poor prognosis and recurrence of HCC. The technology of immunotherapy and prognosis of genetic material has made continuous progress in recent years. In the study, a 5-gene signature was established for the prognosis of HCC through biological information, and the immune infiltration of HCC patients was studied. After studied HCC patients’ immune infiltration, the paper screened the differential target genes of miR-126-3p in HCC downloaded from TCGA database, and uses WGCNA method to select the modular genes highly relevant to M2 macrophage. Then we use LASSO and COX regression analysis… More >

  • Open Access

    ARTICLE

    Potential genomic biomarkers of obesity and its comorbidities for phthalates and bisphenol A mixture: In silico toxicogenomic approach

    KATARINA BARALIć1,*, KATARINA ŽIVANčEVIć1, DRAGICA BoŽIĆ1, DANYEL JENNEN2, ALEKSANDRA BUHA DJORDJEVIC1, EVICA ANTONIJEVIć MILJAKOVIć1, DANIJELA ĐUKIć-ĆOSIć1

    BIOCELL, Vol.46, No.2, pp. 519-533, 2022, DOI:10.32604/biocell.2022.018271

    Abstract This in silico toxicogenomic study aims to explore the relationship between phthalates and bisphenol A (BPA) co-exposure and obesity, as well as its comorbid conditions, in order to construct a possible set of genomic biomarkers. The Comparative Toxicogenomics Database (CTD; http://ctd.mdibl.org) was used as the main data mining tool, along with GeneMania (https://genemania.org), ToppGene Suite (https://toppgene.cchmc.org) and DisGeNET (http://www.disgenet.org). Among the phthalates, bis(2-ethylhexyl) phthalate (DEHP) and dibutyl phthalate (DBP) were chosen as the most frequently curated phthalates in CTD, which also share similar mechanisms of toxicity. DEHP, DBP and BPA interacted with 84, 90 and 194 obesity-related genes/proteins, involved in… More >

  • Open Access

    ARTICLE

    Modified Differential Box Counting in Breast Masses for Bioinformatics Applications

    S. Sathiya Devi1, S. Vidivelli2,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3049-3066, 2022, DOI:10.32604/cmc.2022.019917

    Abstract Breast cancer is one of the common invasive cancers and stands at second position for death after lung cancer. The present research work is useful in image processing for characterizing shape and gray-scale complexity. The proposed Modified Differential Box Counting (MDBC) extract Fractal features such as Fractal Dimension (FD), Lacunarity, and Succolarity for shape characterization. In traditional DBC method, the unreasonable results obtained when FD is computed for tumour regions with the same roughness of intensity surface but different gray-levels. The problem is overcome by the proposed MDBC method that uses box over counting and under counting that covers the… More >

  • Open Access

    ARTICLE

    Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods

    Lejun Gong1,2,*, Xingxing Zhang1, Li Zhang3, Zhihong Gao4

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 31-45, 2021, DOI:10.32604/cmes.2021.016622

    Abstract Novel coronavirus disease 2019 (COVID-19) is an ongoing health emergency. Several studies are related to COVID-19. However, its molecular mechanism remains unclear. The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods. This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning. The method obtains seed genes based on prior knowledge. Candidate genes are mined from biomedical literature. The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate genes. Furthermore, the results of… More >

  • Open Access

    ARTICLE

    Classification of Retroviruses Based on Genomic Data Using RVGC

    Khalid Mahmood Aamir1, Muhammad Bilal2, Muhammad Ramzan1,3, Muhammad Attique Khan4, Yunyoung Nam5,*, Seifedine Kadry6

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3829-3844, 2021, DOI:10.32604/cmc.2021.017835

    Abstract Retroviruses are a large group of infectious agents with similar virion structures and replication mechanisms. AIDS, cancer, neurologic disorders, and other clinical conditions can all be fatal due to retrovirus infections. Detection of retroviruses by genome sequence is a biological problem that benefits from computational methods. The National Center for Biotechnology Information (NCBI) promotes science and health by making biomedical and genomic data available to the public. This research aims to classify the different types of rotavirus genome sequences available at the NCBI. First, nucleotide pattern occurrences are counted in the given genome sequences at the preprocessing stage. Based on… More >

  • Open Access

    ARTICLE

    AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies

    Fahad Alotaibi1, Muhammad Attique2,3, Yaser Daanial Khan2,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1039-1055, 2021, DOI:10.32604/cmc.2021.017297

    Abstract Several autoimmune ailments and inflammation-related diseases emphasize the need for peptide-based therapeutics for their treatment and established substantial consideration. Though, the wet-lab experiments for the investigation of anti-inflammatory proteins/peptides (“AIP”) are usually very costly and remain time-consuming. Therefore, before wet-lab investigations, it is essential to develop in-silico identification models to classify prospective anti-inflammatory candidates for the facilitation of the drug development process. Several anti-inflammatory prediction tools have been proposed in the recent past, yet, there is a space to induce enhancement in prediction performance in terms of precision and efficiency. An exceedingly accurate anti-inflammatory prediction model is proposed, named AntiFlamPred… More >

  • Open Access

    ARTICLE

    Cloning and Bioinformatics Analysis of the GlROP6 gene in Glehnia littoralis

    Min Yan1, Han Wang1, Shaohua Liu1, Ye Xu1, Zizhuo Nie1, Yifeng Zhou2, Li Li2,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1293-1300, 2021, DOI:10.32604/phyton.2021.015601

    Abstract Rho-related GTPase from plants (ROP) proteins play an essential role in plant stress resistance. In this study, the full-length GlROP6 gene was cloned based on G. littoralis transcriptome sequencing data acquired in response to salt stress. The protein sequence, conserved domains, secondary structure, three-dimensional structure, phylogenetic relationships, and expression pattern of the GlROP6 gene were systematically analysed. Our results showed that the full-length GlROP6 gene had an open reading frame of 606 bp, which encoded 201 amino acid residues with a relative molecular weight of 22.23463 kDa and a theoretical isoelectric point of 9.06. Amino acid sequence analyses indicated that… More >

  • Open Access

    ARTICLE

    TRIP13 is identified as a prognosis biomarker for renal clear cell carcinoma and promotes renal cell carcinoma cell proliferation, migration and invasion

    BENJIANG QIAN1, XIAOYAN YING2, GUANG YANG1, HUIZHANG LI3, JIANMING TAN1,*

    BIOCELL, Vol.45, No.3, pp. 577-588, 2021, DOI:10.32604/biocell.2021.014972

    Abstract This work aimed to discover new therapeutic targets in renal clear cell carcinoma by bioinformatics and detect the effect of candidate gene TRIP13 in renal cell carcinoma (RCC) cell proliferation, migration, and invasion. Differentially expressed mRNAs were screened based on The Cancer Genome Atlas (TCGA)-Kidney Renal Clear Cell Carcinoma (KIRC) databases, and functional enrichments, survival analysis, receiver operating characteristic curve (ROC), and Protein–Protein Interaction (PPI) protein interaction analysis were performed by R software to screen the candidate gene TRIP13. Then, the expression of candidate gene TRIP13 in 92 pairs of cancer and adjacent normal tissues of renal clear cell carcinoma… More >

Displaying 31-40 on page 4 of 44. Per Page