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分子生物学: オープンアクセス

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音量 12, 問題 3 (2023)

総説

Microorganisms Use Methane as their Sole Source of Energy and Carbon

Ian Peake*

Methanotrophs are a group of microorganisms that can use methane as their sole source of energy and carbon. These microorganisms play a critical role in the global carbon cycle, as they consume large amounts of methane that would otherwise be released into the atmosphere and contribute to global warming. Understanding the genetics and molecular biology of methanotrophs is important for developing new strategies to harness their potential for bioremediation and bioenergy production. Genetic studies of methanotrophs have identified several key genes involved in methane metabolism. One such gene is the methane monooxygenase gene, which encodes for an enzyme that converts methane into methanol. There are two types of enzymes found in methanotrophs particulate methane monooxygenase and soluble methane monooxygenase. The pMMO enzyme is located on the outer membrane of the cell and is composed of three subunits, while the sMMO enzyme is located in the cytoplasm and is composed of two subunits.

総説

Cell Biology Interactions between Drugs and Interconnected Fields

Lianju Ma*

Cell biology, chemogenomics and chemoproteomics are three interconnected fields that have revolutionized the way we approach drug discovery and development. Each field focuses on a different aspect of the drug discovery process, but together they provide a comprehensive understanding of the interactions between drugs and their cellular targets. In this article, we will discuss the key concepts and applications of cell biology, chemogenomics and chemoproteomics. Cell biology is the study of the structure, function, and behavior of cells. Cells are the basic building blocks of life, and understanding their properties is essential for understanding how drugs interact with their targets. Cell biology provides insight into how drugs enter cells, interact with cellular components, and affect cellular signaling pathways.

ミニレビュー

Molecular Biology and Genetics Disease

P. Minor*

Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. The disease is characterized by the accumulation of amyloid-beta plaques and neurofibrillary tangles in the brain, which lead to the loss of neurons and cognitive decline. While the exact causes of Alzheimer's disease are not fully understood, recent research has shed light on the molecular biology and genetics underlying the disease. One of the key molecular features of Alzheimer's disease is the accumulation of plaques in the brain. Peptide that is produced through the cleavage of the amyloid precursor protein by the enzymes. In healthy individuals, brain through a variety of mechanisms, including enzymatic degradation and clearance by immune cells. However, in Alzheimer's disease, accumulates in the brain, forming plaques that are toxic to neurons.

研究

In-Silico Subcellular Localization and Functional Analysis of Computationally Predicted Virulent Proteins in X. Oryzae pv. Oryzae Strain PXO99A Causal Organism of Bacterial Leaf Blight (BLB) of Rice (O. Sativa L.)

Dharmendra Kashyap* and Aafreen Khan

Rice (O. Sativa L.) is an important cereal crop in the world and more than half of the human population depends on it as a staple diet. India ranks second among countries in the world as par rice production and area under cultivation. X. oryzae are a group of plant-specific yellow-pigmented microbes, which are important phytopathogens that infect crops such as rice and wheat and cause leaf blight disease with a yield loss of as much as 70%. Virulent proteins of pathogen and their subcellular localization play an important role in the invasion, colonization and survival of pathogens. In the present study, computational identification of pathogenic proteins and prediction of their sub-cellular has been done with an idea to facilitate the identification and understanding of their role in pathogenesis. The sequence of strain was downloaded from NCBI and various tools like MP3 software, VirulentPred server, etc. were used for the identification of pathogenic proteins. From analysis 116 proteins were predicted that may have a role in pathogenicity. The subcellular localization and Pfam/Interpro analysis using various online servers like BUSCA, Cello v.2.5, etc. for subcellular localization and Pfam server for Pfam/Interpro analysis were carried out for predicted 116 proteins. Of the 116 proteins most of the proteins were predicted as membrane, extracellular and cytoplasmic proteins, of the predicted proteins most have been predicted with multiple localization in the X. oryzae. The Pfam analysis revealed their role in pathogenesis/virulent associated functions too.

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