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Prediction of super-secondary structure in proteins

Nature, 1983
Various methods for the prediction of secondary structure from amino acid sequence can consistently achieve on average 60% accuracy when tested for several proteins. Improvement on this value has proved difficult, despite increasing the size of the data set and refining predictive techniques.
W R, Taylor, J M, Thornton
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Secondary structure prediction and protein design.

Biochemical Society symposium, 1990
For non-homologous proteins, and after cross-validation, the methods reviewed in this article exhibit a probability index (percentage of correctly predicted residues per predicted residues) of 59-65.5% according to the methods employed with a standard deviation of 7% for three conformational states: alpha-helix, beta-strand and coil.
Garnier, Jean   +3 more
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Accurate Prediction of Protein Secondary Structural Content

Journal of Protein Chemistry, 2001
An improved multiple linear regression (MLR) method is proposed to predict a protein's secondary structural content based on its primary sequence. The amino acid composition, the autocorrelation function, and the interaction function of side-chain mass derived from the primary sequence are taken into account.
Z, Lin, X M, Pan
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Evaluating Predictions of Secondary Structure in Proteins

Biochemical and Biophysical Research Communications, 1994
To learn how secondary structure assignments diverge during divergent evolution, pairs of proteins with solved crystal structures were aligned and their assignments compared as a function of evolutionary distance. Residues assigned in one structure to a helix or a strand are frequently paired with residues assigned in the other to a coil.
T F, Jenny, S A, Benner
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Secondary structure prediction of seed storage proteins

International Journal of Peptide and Protein Research, 1983
The comparison of partial primary structure of seed storage proteins leads to show homologies inside of each considered family (Legume seed legumins and cereal prolamins). Predicted secondary structures deduced from the presently known sequences also exhibit considerable homologies, which implies a severe conservatism of these proteins.
J C, Pernollet, J, Mossé
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Hybrid system for protein secondary structure prediction

Journal of Molecular Biology, 1992
We have developed a hybrid system to predict the secondary structures (alpha-helix, beta-sheet and coil) of proteins and achieved 66.4% accuracy, with correlation coefficients of C(coil) = 0.429, C alpha = 0.470 and C beta = 0.387. This system contains three subsystems ("experts"): a neural network module, a statistical module and a memory-based ...
X, Zhang, J P, Mesirov, D L, Waltz
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Secondary-structure predictions of calcium-binding proteins

Biochemistry, 1977
The known tertiary structure of carp muscle parvalbumin is consistent with an "EF-hand" architecture (helix-loop-helix) for each calcium-ion binding site. Primary-sequence alignments have indicated four EF hands in rabbit skeletal muscle troponin C and in rabbit myosin alkali light chains.
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Advances in Protein Super-Secondary Structure Prediction and Application to Protein Structure Prediction

2019
Due to the advancement in various sequencing technologies, the gap between the number of protein sequences and the number of experimental protein structures is ever increasing. Community-wide initiatives like CASP have resulted in considerable efforts in the development of computational methods to accurately model protein structures from sequences ...
Elijah, MacCarthy   +2 more
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Dictionary supported protein secondary structure prediction

2014
Studia Informatica, Vol 35, No 1 (2014)
Fabian, Piotr, Stąpor, Katarzyna
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Predicting protein secondary structure content

Journal of Molecular Biology, 1992
Steven M. Muskal, Sung-Hou Kim
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