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هشتمین سمینار دوسالانه کمومتریکس ایران
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
An efficient method for measuring the similarity of protein sequences based on physicochemical properties |
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| چکیده انگلیسی مقاله |
The graphical representation of protein sequence is a simple and common way to visualize protein sequences. In this study, a numerical descriptive vector for a given protein sequence is calculated based on twelve physicochemical properties of amino acids (AAs) and principal component analysis (PCA). Each entry of the descriptive vector corresponds to one AA in the sequence. By this vector, an intuitive spectrum-like graphical representation of protein sequence is proposed. Squared correlation coefficient as well as moving window correlation coefficient, as a new similarity/dissimilarity measure, were used to compare different sequences. Applicability of the proposed method is assessed by analyzing the nine ND5 proteins. The results revealed the utility of the proposed method. |
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| کلیدواژه‌های انگلیسی مقاله |
Similarity analysis، Protein sequence، Graphical representation، Principal component analysis، Physicochemical property، Moving window correlation coefficient. |
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| نویسندگان مقاله |
Mehri Mahmoodi-Reihani - Islamic Azad University, Mahshahr
Vahid Zare-Shahabadi - Islamic Azad University, Mahshahr
Fatemeh Abbasitabar - Department of Chemistry, Marvdasht
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| نشانی اینترنتی |
http://chemo2021.modares.ac.ir/browse.php?a_code=A-10-92-3&slc_lang=fa&sid=1 |
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| زبان مقاله منتشر شده |
fa |
| موضوعات مقاله منتشر شده |
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