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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
openaire   +1 more source

Highly accurate protein structure prediction with AlphaFold

Nature, 2021
John M Jumper   +2 more
exaly  

Predicting protein secondary structure content

Journal of Molecular Biology, 1992
Steven M. Muskal, Sung-Hou Kim
openaire   +1 more source

The prospects and opportunities of protein structure prediction with AI

Nature Reviews Molecular Cell Biology, 2022
Kathryn Tunyasuvunakool
exaly  

Improved protein structure prediction using potentials from deep learning

Nature, 2020
Andrew W Senior   +2 more
exaly  

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