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9 results for “metabolic network”
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Research ArticleOpen accessIn the keywordsThe Postgenomic Era: Transcriptomic as the New Paradigm of LifeBruno Giardina, Marcella Renis, Vito Latora, Salvatore MusumeciNow that complete genome sequences are available for a variety of organism, the elucidation of single gene function involved in the metabolism, includes necessarily a better understanding of the cellular responses on all levels of gene products, mRNA, proteins and metabolites. Such knowledge’s growth is essential since the observable properties of living organisms, so called phenotypes, are the results of … …OnLine Journal of Biological Sciences, Vol. 6, Issue 1 · 30 Jun 2006 · 6,822 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLossy Asymptotic Equipartition Property for Networked Data StructuresKwabena Doku-AmponsahIn this study, we prove a Generalized Information Theory for Networked Data Structures modelled as random graphs. The main tools in this study remain large deviation principles for properly defined empirical measures on random graphs. To motivate the paper, we apply our main result to a concrete example from the field of Biology. …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 24 May 2017 · 6,979 accessesView PDFCite
Research ArticleOpen accessIn the abstractCoupling Analysis of Thermodynamic Equilibrium of Mass Transfer and Microbial Community Succession in Multiphase System of Dark Tea Solid-State FermentationZhanjun Liu, Jiawei Sun, Taotao Li et al.During the solid-state fermentation of dark tea, the limited material migration, the dynamic evolution of the thermodynamic equilibrium state, and the highly dynamic succession of the microbial community make it difficult to analyze the quality formation mechanism systematically. Traditional research has focused on microbial diversity or sensory quality analysis, lacking a systematic discussion on the regulatory effects of material migration … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,004 accessesView PDFCite
Literature ReviewOpen accessIn the abstractMolecular Genetic Basis of Starch Biosynthesis and Waxy Allelic Variation in Rice Grain QualityInnabat Sartbayeva, Aigul Amirova, Dana Mynbaeva et al.The culinary, nutritional, and industrial properties of rice (Oryza sativa L.) grains are fundamentally governed by the structural arrangement of endosperm starch, a complex physiological phenotype shaped by genetic architecture and environmental conditions. This review provides a comprehensive synthesis of the molecular pathways driving starch biosynthesis in rice, centering on allelic diversity within the Waxy (Wx) locus, which codes for … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 479 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Analysis of Transcriptomic and Metabolomic Responses in Rice Resisting False SmutYanmin Yu, Haiying Liu, Hongtao Wu et al.Rice false smut, caused by Ustilaginoidea virens, is an important fungal disease that reduces both grain yield and quality. To dissect the molecular basis of resistance, we combined transcriptome sequencing and metabolite profiling in resistant and susceptible rice cultivars. Transcriptome sequencing revealed more than 8,500 genes with altered expression patterns after infection, while metabolite profiling detected over 700 significantly changed … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 27 Aug 2026 · 1,057 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 726 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Prediction of Diabetic Nephropathy-Associated Comorbidities and Their Key Genes by Analyzing RNA-Seq DataChaity Paul, Md. Ashiq Uddin, Rupa Dey et al.Diabetic Nephropathy (DN) is a complex health condition that leads to various kidney diseases. According to the World Health Organization, over 2 million deaths have been reported due to diabetes and diabetes related kidney diseases in 2021. And at the recent 78th World Health Assembly, chronic kidney disease was reported to be one of the most common diabetes-related complications, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 19 May 2026 · 1,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractPost-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid ModelBoddeti Jaggan Mohan Ravi Kumar, P. V. G. D. Prasad Reddy, G SrinivasThe COVID-19 pandemic (2019-2022) resulted in significant global mortality, largely attributed to the virus's unpredictable pathophysiology, rapid disease progression affecting multiple organ systems, and initial lack of effective treatments. This study systematically examines post-COVID-19 complications across major organ systems, including respiratory dysfunction, cardiovascular complications, renal disorders, musculoskeletal pain, gastrointestinal disturbances, neurological sequelae, alopecia, endocrine and metabolic dysregulation, and mental health … …Journal of Computer Science, Vol. 21, Issue 11 · 23 Dec 2025 · 1,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 4,998 accessesView PDFCite