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گواهی نمایه سازی مقاله Protein Complex Identification by Graph Local Clustering and use of Chou's Amphiphilic Pseudo amino-acid Features

عنوان مقاله: Protein Complex Identification by Graph Local Clustering and use of Chou's Amphiphilic Pseudo amino-acid Features
شناسه (COI) مقاله: ICBME20_097
منتشر شده در بیستمین کنفرانس مهندسی زیست پزشکی ایران در سال ۱۳۹۲
مشخصات نویسندگان مقاله:

Ashkan Nomani - Graduate Student,Biomedical Engineering,University of Isfahan
Majid Mohammadbeigi - Assistant Professor University of Isfahan Biomedical Engineering Department, Isfahan, Iran
Amir Saleki - Graduate Student, Control Engineering,University of Isfahan

خلاصه مقاله:
The intend of this paper is to introduce a new method for protein complex identification. Proteins share an important role by signaling cells. Proteins are three dimensional objects andany types of deformed proteins can cause severe disease, because their function is related to their shape and also the amino-acidsequence they have coded with. Technically speaking similar types of proteins tend to act by forming a group or a complex andif we can find a highly accurate way to identify the complexes we can find a group of proteins that are responsible for something.For this purpose different types of algorithms have proposed butmost of them failed to achieve enough precision. Here we will use a new method which uses Chou Pseudo amino-acid as a set offeatures and we will get a good result even by using machine learning techniques that were supposed as not an effective tool in this field before.

کلمات کلیدی:
Complex , Identification , protein , yeast

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICBME20-ICBME20_097.html