تفاصيل الوثيقة
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نوع الوثيقة |
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مقال في مجلة دورية |
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عنوان الوثيقة |
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A Prediction Model for Membrane Proteins Using Moments Based Features A Prediction Model for Membrane Proteins Using Moments Based Features |
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الموضوع |
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علوم حاسبات |
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لغة الوثيقة |
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العربية |
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المستخلص |
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The most expedient unit of the human body is its cell. Encapsulated within the cell are
many infinitesimal entities and molecules which are protected by a cell membrane. The
proteins that are associated with this lipid based bilayer cell membrane are known as
membrane proteins and are considered to play a significant role. These membrane
proteins exhibit their effect in cellular activities inside and outside of the cell. According
to the scientists in pharmaceutical organizations, these membrane proteins perform key
task in drug interactions. In this study, a technique is presented that is based on various
computationally intelligent methods used for the prediction of membrane protein
without the experimental use of mass spectrometry. Statistical moments were used to
extract features and furthermore a Multilayer Neural Network was trained using
backpropagation for the prediction of membrane proteins. Results show that the
proposed technique performs better than existing methodologies. |
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ردمد |
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2314-6141 |
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اسم الدورية |
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BioMed Research International |
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المجلد |
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2016 |
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العدد |
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2 |
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سنة النشر |
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1437 هـ
2016 م |
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نوع المقالة |
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مقالة علمية |
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تاريخ الاضافة على الموقع |
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Monday, March 7, 2016 |
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الباحثون
| Sher Afzal Khan | Khan, Sher Afzal | باحث | دكتوراه | skhan.afzal@gmail.com |
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الرجوع إلى صفحة الأبحاث
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