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Secondary Structure of Membrane Proteins: Prediction with Conformational Preference Functions of Soluble Proteins

Davor Juretić ; Department of Physics, University of Split, Nikole Tesle 12, 58000 Split, Croatia

Puni tekst: engleski pdf 28.054 Kb


str. 921-932

preuzimanja: 416



Conformational preference functions are derived from the statistical analysis of the data base of soluble protein structures. These functions use local sequence information to modify the Chou-Fasman’s preference of a given residue in a protein for secondary conformation. The secondary structure prediction algorithm that compares preferences is constructed. For the testing set of 14 membrane polypeptides the prediction accuracy is 78% in the three state model and 90% for the a-helix residues alone. Correlation coefficients are 0.58 and 0.57 for the a-helix and turn structures, respectively.

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