نتایج جستجو برای: protein protein interaction network analysis

تعداد نتایج: 4665176  

2017
Yu Qian

Proteins are some of the building blocks of organisms. They usually perform their functions by interacting with each other and forming protein complexes. A protein-protein interaction network is a graph that consists of proteins as vertices and their interactions as edges. Protein-protein interaction network alignment is very important in identifying protein complexes and predicting protein fun...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده کشاورزی 1390

چکیده اسیدهای چرب غیراشباع با چندین پیوند دوگانه می توانند در روندهای تولید مثلی مختلف از طریق سازوکارهای متنوعی تاثیر بگذارند. در این مطالعه تاثیرات مکمل های اسیدهای چرب امگا 3 و امگا 6 بر ویژگی های تکامل فولیکولی و استروئیدزایی تخمدان و همچنین بیان فاکتور رشد bone morphogenetic protein 15 در اووسیت، که در فولیکول زایی تخمدانی نقش دارد، بررسی شد. 30 میش 4-2 ساله-ی غیرشیرده به 3 گروه 10 تایی ت...

Journal: :Informatics in Medicine Unlocked 2020

Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...

Journal: :International Journal of Molecular Sciences 2016

Journal: :Computer Science and Information Systems 2021

The analysis of protein-protein interaction networks can transfer the knowledge well-studied biological functions to that are not yet adequately investigated by constructing and extracting similar network structures in different species. Multiple alignment be used find regions among multiple networks. In this paper, we introduce Accurate Combined Clustering Network Alignment (ACCMNA), which is ...

 Background and purpose: Leishmaniasis is one of the most important infectious diseases caused by different species of the Leishmania, which is a public health problem worldwide. So far, no effective vaccine is introduced for this disease and drug therapy is associated with many side effects. Therefore, this study was designed to identify novel FDA-approved compounds with anti-leishmanial activ...

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