Prediction of Protein Secondary Structure using Artificial Neural Network
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 5
Abstract
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 econdary 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.
Authors and Affiliations
MN Vamsi Thalatam , P Venkata Rao , KVSRP Varma , NVR Murty , Allam Apparao
Keywords
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