Protein structure determination and prediction has
been a focal research subject in the field of bioinformatics due to the
importance of protein structure in understanding the biological and
chemical activities of organisms. The experimental methods used by
biotechnologists to determine the structures of proteins demand
sophisticated equipment and time. A host of computational methods
are developed to predict the location of secondary structure elements
in proteins for complementing or creating insights into experimental
results. However, prediction accuracies of these methods rarely
exceed 70%.
[1] Cuff, J. A. and Barton, G.J. "Evaluation and improvement of multiple
sequence methods for protein secondary structure prediction. Proteins,
34, 1999, pp. 508-519.
[2] Cuff, J.A. and Barton G.J. "Application of multiple sequence alignment
profiles to improve protein secondary structure prediction" Proteins, 40,
2000, pp. 502-511.
[3] Jones, D.T. "Protein secondary structure prediction based on positionspecific
scoring matrices" Journal of Molecular Biology, 292, 1999, pp.
195 -202.
[4] Kabsch, W. and Sander, C. "Dictionary of protein secondary structure:
Pattern recognition of hydrogen-bonded and geometrical features"
Biopolymers, 22, 1983, pp. 2577-2637.
[5] Kloczkowski, A., Ting, K.L., Jernigan, R.L. and Garnier, J. "Combining
the GORV algorithm with evolutionary information for protein
secondary structure prediction from amino acid sequence" Proteins, 49,
2002, pp. 154-166.
[6] Krane, D. and Raymer, M. (2003), "Fundamental Concepts of
Bioinformatics", Pearson Education, New Delhi, pp.1-314.
[7] Moult, J., Hubbard, T., Bryant, S.H., Fidelis, K. and Pedersen, J.T.
"Critical assesment of methods of protein structure prediction (CASP):
round II". Proteins, S1, 1992, pp. 2-6.
[8] Rost, B. and Sander, C. (1993) "Prediction of protein secondary
structure at better than 70% accuracy" Journal of Molecular Biology,
232, pp. 584-599.
[9] Sander, C. and Schneider, R. "Database of homology-derived structures
and the structural meaning of sequence alignment" Proteins, 9, 1991, 56-
68.
[1] Cuff, J. A. and Barton, G.J. "Evaluation and improvement of multiple
sequence methods for protein secondary structure prediction. Proteins,
34, 1999, pp. 508-519.
[2] Cuff, J.A. and Barton G.J. "Application of multiple sequence alignment
profiles to improve protein secondary structure prediction" Proteins, 40,
2000, pp. 502-511.
[3] Jones, D.T. "Protein secondary structure prediction based on positionspecific
scoring matrices" Journal of Molecular Biology, 292, 1999, pp.
195 -202.
[4] Kabsch, W. and Sander, C. "Dictionary of protein secondary structure:
Pattern recognition of hydrogen-bonded and geometrical features"
Biopolymers, 22, 1983, pp. 2577-2637.
[5] Kloczkowski, A., Ting, K.L., Jernigan, R.L. and Garnier, J. "Combining
the GORV algorithm with evolutionary information for protein
secondary structure prediction from amino acid sequence" Proteins, 49,
2002, pp. 154-166.
[6] Krane, D. and Raymer, M. (2003), "Fundamental Concepts of
Bioinformatics", Pearson Education, New Delhi, pp.1-314.
[7] Moult, J., Hubbard, T., Bryant, S.H., Fidelis, K. and Pedersen, J.T.
"Critical assesment of methods of protein structure prediction (CASP):
round II". Proteins, S1, 1992, pp. 2-6.
[8] Rost, B. and Sander, C. (1993) "Prediction of protein secondary
structure at better than 70% accuracy" Journal of Molecular Biology,
232, pp. 584-599.
[9] Sander, C. and Schneider, R. "Database of homology-derived structures
and the structural meaning of sequence alignment" Proteins, 9, 1991, 56-
68.
@article{"International Journal of Biological, Life and Agricultural Sciences:63122", author = "Manpreet Singh and Parvinder Singh Sandhu and Reet Kamal Kaur", title = "Protein Secondary Structure Prediction", abstract = "Protein structure determination and prediction has
been a focal research subject in the field of bioinformatics due to the
importance of protein structure in understanding the biological and
chemical activities of organisms. The experimental methods used by
biotechnologists to determine the structures of proteins demand
sophisticated equipment and time. A host of computational methods
are developed to predict the location of secondary structure elements
in proteins for complementing or creating insights into experimental
results. However, prediction accuracies of these methods rarely
exceed 70%.", keywords = "Protein, Secondary Structure, Prediction, DNA,RNA.", volume = "2", number = "6", pages = "119-4", }