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نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
A Prediction Model for Membrane Proteins Using Moments Based Features
A Prediction Model for Membrane Proteins Using Moments Based Features
 
الموضوع : علوم حاسبات 
لغة الوثيقة : العربية 
المستخلص : 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. 
ردمد : 2314-6141 
اسم الدورية : BioMed Research International 
المجلد : 2016 
العدد : 2 
سنة النشر : 1437 هـ
2016 م 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Monday, March 7, 2016 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Sher Afzal KhanKhan, Sher Afzalباحثدكتوراهskhan.afzal@gmail.com

الملفات

اسم الملفالنوعالوصف
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