کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4496065 1623844 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of subcellular location of apoptosis proteins combining tri-gram encoding based on PSSM and recursive feature elimination
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
Prediction of subcellular location of apoptosis proteins combining tri-gram encoding based on PSSM and recursive feature elimination
چکیده انگلیسی


• Prediction performance of apoptosis protein subcellular location has been improved.
• A high-quality sequence representation has been designed.
• A recursive feature selection has been used to reduce feature abundance.

Knowledge of apoptosis proteins plays an important role in understanding the mechanism of programmed cell death. Obtaining information on subcellular location of apoptosis proteins is very helpful to reveal the apoptosis mechanism and understand the function of apoptosis proteins. Because of the cost in time and labor associated with large-scale wet-bench experiments, computational prediction of apoptosis proteins subcellular location becomes very important and many computational tools have been developed in the recent decades. Existing methods differ in the protein sequence representation techniques and classification algorithms adopted. In this study, we firstly introduce a sequence encoding scheme based on tri-grams computed directly from position-specific score matrices, which incorporates evolution information represented in the PSI-BLAST profile and sequence-order information. Then SVM-RFE algorithm is applied for feature selection and reduced vectors are input to a support vector machine classifier to predict subcellular location of apoptosis proteins. Jackknife tests on three widely used datasets show that our method provides the state-of-the-art performance in comparison with other existing methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 366, 7 February 2015, Pages 8–12
نویسندگان
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