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Study and Prediction of Secondary Structure for Membrane Proteins
Journal of Biomolecular Structure and Dynamics, 2007In this paper we present a novel approach to membrane protein secondary structure prediction based on the statistical stepwise discriminant analysis method. A new aspect of our approach is the possibility to derive physical-chemical properties that may affect the formation of membrane protein secondary structure.
Svetlana R, Amirova +4 more
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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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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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Predicting Protein Secondary Structure with Markov Models
2005The primary structure of a protein is the sequence of its amino acids. The secondary structure describes structural properties of the molecule such as which parts of it form sheets, helices or coils. Spacial and other properties are described by the higher order structures.
Paul Fischer +2 more
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Prediction of protein secondary structures by a neural network
Bioinformatics, 1993We have studied the prediction of globular protein secondary structures by neural networks. Protein secondary structures are allocated to amino acid residues using Kabsch and Sander's dictionary of protein secondary structures and the neural network is taught the protein secondary structures.
F. Sasagawa, K. Tajima
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Accurate Prediction of Protein Secondary Structural Content
Journal of Protein Chemistry, 2001An 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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The Prediction of the Secondary Structure of Proteins
1991The prediction of the secondary structure of proteins has been widely applied to many areas of protein chemistry. This review gives an overview of its utility, reliability and application to a wide variety of problems in the life sciences.
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Bidirectional Dynamics for Protein Secondary Structure Prediction
2000Connectionist models for learning in sequential domains are typically dynamical systems that use hidden states to store contextual information. In principle, these models can adapt to variable time lags and perform complex sequential mappings. In spite of several successful applications (mostly based on hidden Markov models), the general class of ...
Pierre Baldi +4 more
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The GOR Method for Predicting Secondary Structures in Proteins
1989The widely used term “secondary structure” implies that it is of value to consider the structure of a protein as organized hierarchically. “Hierarchic” relates to the idea that the structure can be considered on at least two levels; there are, in fact, three levels of interest here, namely, the covalent structure (primary), the structural organization ...
Garnier, J., Robson, B.
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