Related Experiment Video
Updated: Apr 1, 2026
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
NNvPDB: Neural Network based Protein Secondary Structure Prediction with PDB Validation
Seethalakshmi Sakthivel1, Habeeb S K M1
1Department of Bioinformatics, School of Bioengineering, Faculty of Engineering & Technology, Kattankulathur Campus, SRM University, Potheri - 603203, Tamil Nadu, India.
Unlabelled:
The predicted secondary structural states are not cross validated by any of the existing servers. Hence, information on the level of accuracy for every sequence is not reported by the existing servers. This was overcome by NNvPDB, which not only reported greater Q3 but also validates every prediction with the homologous PDB entries. NNvPDB is based on the concept of Neural Network, with a new and different approach of training the network every time with five PDB structures that are similar to query sequence. The average accuracy for helix is 76%, beta sheet is 71% and overall (helix, sheet and coil) is 66%.
Availability:
http://bit.srmuniv.ac.in/cgi-bin/bit/cfpdb/nnsecstruct.pl.
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