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1.
Methods Mol Biol ; 2844: 33-44, 2024.
Article in English | MEDLINE | ID: mdl-39068330

ABSTRACT

Promoters are the genomic regions upstream of genes that RNA polymerase binds in order to initiate gene transcription. Understanding the regulation of gene expression depends on being able to identify promoters, because they are the most important component of gene expression. Agrobacterium tumefaciens (A. tumefaciens) strain C58 was the subject of this study with the goal of creating a machine learning-based model to predict promoters. In this study, nucleotide density (ND), k-mer, and one-hot were used to encode the promoter sequence. Support vector machine (SVM) on fivefold cross-validation with incremental feature selection (IFS) was used to optimize the generated features. These improved characteristics were then used to distinguish promoter sequences by feeding them into the random forest (RF) classifier. Tenfold cross-validation (CV) analysis revealed that the projected model has the ability to produce an accuracy of 84.22%.


Subject(s)
Agrobacterium tumefaciens , Artificial Intelligence , Promoter Regions, Genetic , Support Vector Machine , Agrobacterium tumefaciens/genetics , Computational Biology/methods , Algorithms
2.
Molecules ; 28(14)2023 Jul 17.
Article in English | MEDLINE | ID: mdl-37513325

ABSTRACT

Diabetes mellitus is a chronic metabolic disorder defined as hyperglycemia and pancreatic ß-cell deterioration, leading to other complications such as cardiomyopathy. The current study assessed the therapeutic effects of phenolic acids extracted from Jasminum sambac phenols of leaves (JSP) against diabetes-induced cardiomyopathy in rats. The rats were divided into four groups, with each group consisting of 20 rats. The rats were given intraperitoneal injections of alloxan monohydrate (150 mg/kg) to induce diabetes. The diabetes-induced groups (III and IV) received treatment for six weeks that included 250 and 500 mg/kg of JSP extract, respectively. In the treated rats, the results demonstrated that JSP extract restored fasting glucose, serum glucose, and hyperlipidemia. Alloxan induced cardiomyopathy, promoted oxidative stress, and altered cardiac function biomarkers, including cardiac troponin I, proBNP, CK-MB, LDH, and IMA. The JSP extract-treated rats showed improved cardiac function indicators, apoptosis, and oxidative stress. In diabetic rats, the mRNA expression of caspase-3, BAX, and Bcl-2 was significantly higher, while Bcl-2, Nrf-2, and HO-,1 was significantly lower. In the treated groups, the expression levels of the BAX, Nrf-2, HO-1, Caspase-3, and Bcl-2 genes were dramatically returned to normal level. According to our findings, the JSP extract prevented cardiomyopathy and heart failure in the hyperglycemic rats by improving cardiac biomarkers and lowering the levels of hyperlipidemia, oxidative stress, apoptosis, hyperglycemia, and hyperlipidemia.


Subject(s)
Diabetes Mellitus, Experimental , Diabetic Cardiomyopathies , Hyperglycemia , Hyperlipidemias , Jasminum , Metabolic Diseases , Rats , Animals , Diabetic Cardiomyopathies/drug therapy , Diabetic Cardiomyopathies/complications , Alloxan , Caspase 3/metabolism , Diabetes Mellitus, Experimental/complications , Diabetes Mellitus, Experimental/drug therapy , Diabetes Mellitus, Experimental/metabolism , bcl-2-Associated X Protein/metabolism , Oxidative Stress , Hyperglycemia/complications , Glucose/metabolism , Metabolic Diseases/complications , Phenols/pharmacology , Phenols/therapeutic use , Biomarkers/metabolism , Blood Glucose/metabolism
3.
Innov Pharm ; 12(1)2021.
Article in English | MEDLINE | ID: mdl-34007667

ABSTRACT

COVID-19 is an infectious respiratory and vascular disease caused by SARS-CoV-2. This virus was first identified in Wuhan, China and caused an ongoing pandemic. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern in January 2020 and a pandemic in March 2020. Reports suggest that patients experience persistent deficits in pulmonary and cognitive functioning, as well as multifaceted health issues and worsened quality of life. From records in Italy and France, COVID-19 survivors experience the return of symptoms. COVID-19 survivors need specialist investigation once they have been discharged from hospital. No proper guidelines are recommending that COVID-19 survivors should be under assessment. We intended to provide a model to assist local healthcare systems to establish post-COVID recovery assessment clinic(s) for CVOID-19 survivors. Our model will enable COVID-19 patients' access to multi-professional advice, so that they are put onto the right clinical pathway to treat their symptoms. Furthermore, the findings of different specialties in post-COVID recovery assessment clinic(s) may help doctors determine the best discharge plan for COVID-19 patients.

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