کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8876700 1623763 2018 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information
ترجمه فارسی عنوان
شناسایی پروتئین های ضروری بر اساس پارتیشن زیر شبکه و اولویت بندی با ادغام اطلاعات محلی سازی
کلمات کلیدی
پروتئین ضروری شبکه متقابل پروتئین-پروتئین، توپولوژی شبکه، اطلاعات بیولوژیک،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
Essential proteins are important participants in various life activities and play a vital role in the survival and reproduction of living organisms. Identification of essential proteins from protein-protein interaction (PPI) networks has great significance to facilitate the study of human complex diseases, the design of drugs and the development of bioinformatics and computational science. Studies have shown that highly connected proteins in a PPI network tend to be essential. A series of computational methods have been proposed to identify essential proteins by analyzing topological structures of PPI networks. However, the high noise in the PPI data can degrade the accuracy of essential protein prediction. Moreover, proteins must be located in the appropriate subcellular localization to perform their functions, and only when the proteins are located in the same subcellular localization, it is possible that they can interact with each other. In this paper, we propose a new network-based essential protein discovery method based on sub-network partition and prioritization by integrating subcellular localization information, named SPP. The proposed method SPP was tested on two different yeast PPI networks obtained from DIP database and BioGRID database. The experimental results show that SPP can effectively reduce the effect of false positives in PPI networks and predict essential proteins more accurately compared with other existing computational methods DC, BC, CC, SC, EC, IC, NC.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 447, 14 June 2018, Pages 65-73
نویسندگان
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