شماره ركورد كنفرانس :
5319
عنوان مقاله :
An efficient method for measuring the similarity of protein sequences based on physicochemical properties
پديدآورندگان :
Mahmoodi-Reihani Mehri Department of Chemistry, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran , Zare-Shahabadi Vahid valizare@gmail.com Department of Chemistry, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran , Abbasitabar Fatemeh Department of Chemistry, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
كليدواژه :
Similarity analysis , Protein sequence , Graphical representation , Principal component analysis , Physicochemical property , Moving window correlation coefficient.
عنوان كنفرانس :
هشتمين سمينار دوسالانه كمومتريكس ايران
چكيده فارسي :
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.
