15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
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 Type
Dr Grade
Email
Sher Afzal Khan
Khan, Sher Afzal
Researcher
Doctorate
skhan.afzal@gmail.com
Files
File Name
Type
Description
38347.pdf
pdf
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