Prediction of nitrosocysteine sites using position and composition variant features
Loading...
Date
2017
Authors
Batool, Aroosa
Journal Title
Journal ISSN
Volume Title
Publisher
University of Management and Technology Lahore
Abstract
Protein S-nitrosylation, a significant posttranslational modification of protein, involves the addition of nitrogen oxide group to cysteine thiols to form S-nitrosocysteine. Growing evidence has suggested that S-nitrosylation plays a major role in numerous human diseases. So, it is highly anticipated for the intuition into biological research and drug discovery to develop such techniques for timely identification of S-nitrosylated proteins. The proposed system endeavors a novel strategy based on numerous intellectual computational method for the identification of S-nitrosocystiene site from a protein sequence. Statistical moments were used to extract the features and built a multilayer neural network model using Gradient Descending and Adaptive Learning Algorithm. The comparison results on the-state-of-the-art benchmark datasets have shown that this proposed scheme is very propitious, accurate and exceptionally effective for the prediction of S-nitrosocystiene in protein sequence
Description
Supervised by:Dr. Yaser Daanial Khan and Dr. Nouman Rasool
Keywords
S-nitrosylation, Drug discovery, MS Thesis