Hydrophobicity Analysis of Protein Primary Structures to Identify Helical Regions
2004 ◽
Vol 43
(01)
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pp. 102-105
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Keyword(s):
Summary Objectives: A wavelet based approach for the hydrophobicity analysis of protein primary structures is proposed to predict the presence of alpha helices in the secondary structure. Methods: The information about hydropathy profile periodicity content together with a score of probability of occurrence of a single amino acid allows the localization of alpha helices. Results: The accuracy is comparable to other consolidated predictors based on different techniques (i.e.: neural networks, hidden markov models). Conclusion: This method is particularly suitable to capture the amphiphilic character of the helical structures.
2019 ◽
Keyword(s):
2000 ◽
Vol 80
(11)
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pp. 1629-1641
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Keyword(s):
A New Modular Strategy For Action Sequence Automation Using Neural Networks And Hidden Markov Models
2013 ◽
Vol 2
(3)
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pp. 18-35
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2005 ◽
Vol 1
(4)
◽
pp. 53-72
Keyword(s):