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Original scientific paper

Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters

Davor Juretić ; Physics Department, Faculty of Science, University of Split, N. Tesle 12, 58000 Split, Croatia
Bono Lučić ; Physics Department, Faculty of Science, University of Split, N. Tesle 12, 58000 Split, Croatia
Nenad Trinajstić ; Physics Department, Faculty of Science, University of Split, N. Tesle 12, 58000 Split, Croatia

Fulltext: english, pdf (19 MB) pages 201-208 downloads: 166* cite
APA 6th Edition
Juretić, D., Lučić, B. & Trinajstić, N. (1993). Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters. Croatica Chemica Acta, 66 (1), 201-208. Retrieved from https://hrcak.srce.hr/137107
MLA 8th Edition
Juretić, Davor, et al. "Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters." Croatica Chemica Acta, vol. 66, no. 1, 1993, pp. 201-208. https://hrcak.srce.hr/137107. Accessed 29 Jul. 2021.
Chicago 17th Edition
Juretić, Davor, Bono Lučić and Nenad Trinajstić. "Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters." Croatica Chemica Acta 66, no. 1 (1993): 201-208. https://hrcak.srce.hr/137107
Harvard
Juretić, D., Lučić, B., and Trinajstić, N. (1993). 'Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters', Croatica Chemica Acta, 66(1), pp. 201-208. Available at: https://hrcak.srce.hr/137107 (Accessed 29 July 2021)
Vancouver
Juretić D, Lučić B, Trinajstić N. Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters. Croatica Chemica Acta [Internet]. 1993 [cited 2021 July 29];66(1):201-208. Available from: https://hrcak.srce.hr/137107
IEEE
D. Juretić, B. Lučić and N. Trinajstić, "Predicting Membrane Protein Secondary Structure:Preference Functions Method for Finding Optimal Conformational Parameters", Croatica Chemica Acta, vol.66, no. 1, pp. 201-208, 1993. [Online]. Available: https://hrcak.srce.hr/137107. [Accessed: 29 July 2021]

Abstracts
An automated iterative method is developed for predicting secondary conformation in membrane proteins. The initial set of parameters are a-helix preferences and associated conformational preference functions extracted from the data set of known soluble protein structures. The secondary structure segments are assigned to each of 14 tested membrane proteins by using the prediction method, which evaluates and compares preference functions in the tested protein. A new set of parameters are then calculated which is based on the predicted protein structure from the previous iterative cycle. The method takes advantage of the similarities in local sequence patterns found in the tested proteins. Residues in membrane proteins are predicted with 84% accuracy and with the correlation coefficient for the a-helix structure equal to 0.68, which is a considerably better performance than that of neural network programs or Garnier-Robson’s algorithm.

Hrčak ID: 137107

URI
https://hrcak.srce.hr/137107

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