کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10351578 | 864494 | 2012 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine](/preview/png/10351578.png)
چکیده انگلیسی
Flavin mono-nucleotide (FMN) closely evolves in many biological processes. In this study, a computational method was proposed to identify FMN binding sites based on amino acid sequences of proteins only. A modified Position Specific Score Matrix was used to characterize the local environmental sequence information, and a visible improvement of performance was obtained. Also, the ensemble SVM was applied to solve the imbalanced data problem. Additionally, an independent dataset was built to evaluate the practical performance of the method, and a satisfactory accuracy of 87.87% was achieved. It demonstrates that the method is effective in predicting FMN-binding sites.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 42, Issue 11, November 2012, Pages 1053-1059
Journal: Computers in Biology and Medicine - Volume 42, Issue 11, November 2012, Pages 1053-1059
نویسندگان
Xia Wang, Gang Mi, Cuicui Wang, Yongqing Zhang, Juan Li, Yanzhi Guo, Xuemei Pu, Menglong Li,