Document Details

Document Type : Article In Journal 
Document Title :
A Prediction Model for Membrane Proteins Using Moments Based Features
A Prediction Model for Membrane Proteins Using Moments Based Features
 
Subject : Computer Science 
Document Language : Arabic 
Abstract : 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. 
ISSN : 2314-6141 
Journal Name : BioMed Research International 
Volume : 2016 
Issue Number : 2 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Monday, March 7, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Sher Afzal KhanKhan, Sher AfzalResearcherDoctorateskhan.afzal@gmail.com

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