Prediction of Protein Secondary Structure using Artificial Neural Network

Structural information can provide insight into protein function, and therefore, high- accuracy prediction of protein structure from its sequence is highly desirable. We predicted the secondary structure of query protein sequence using Artificial Neural Network available in Neurosolutions. The struc...

Full description

Saved in:
Bibliographic Details
Published in:International journal on computer science and engineering 2010-01, Vol.2 (5), p.1615-1615
Main Authors: Thalatam, M N Vamsi, Rao, P Venkata, Varma, K V S R P, Murty, N V R, Apparao, Allam
Format: Article
Language:English
Subjects:
Artificial neural networks
C (programming language)
Coiling
Mathematical analysis
Mathematical models
Networks
Proteins
Query processing
Strands
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Structural information can provide insight into protein function, and therefore, high- accuracy prediction of protein structure from its sequence is highly desirable. We predicted the secondary structure of query protein sequence using Artificial Neural Network available in Neurosolutions. The structure is described in terms of Alpha Helix (H), Extended Strand (E) and Random Coil (C). The results are displayed in tabular forms. By proper training of the network on the data related to structure we tested and predicted the secondary structure of the query protein.
ISSN:0975-3397