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Protein Sequence Analysis by Proximities

2016
Sequence data are widely used to get a deeper insight into biological systems. From a data analysis perspective they are given as a set of sequences of symbols with varying length. In general they are compared using nonmetric score functions. In this form the data are nonstandard, because they do not provide an immediate metric vector space and their ...
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Markov Analysis of Protein Sequence Similarities

2003
In our previous work, we explored the use of graph-theoretic spectral methods for clustering protein sequences [7]. The nodes of the graph represent a set of proteins to be clustered into families and/or super-families. Edges between nodes are undirected and weighted by the similarities between proteins. We constructed a novel similarity function based
Chakra Chennubhotla 0001   +1 more
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Computer analysis of DNA and protein sequences

European Journal of Biochemistry, 1991
Some recent trends in the development of theoretical methods for DNA and protein sequence analysis are reviewed, with particular emphasis on the design of new databases, motif searches, sequence alignment algorithms and applications of neural networks.
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Spectral Analysis of Protein Sequences

2006
Analysis of protein sequences can avoid many problems inherently existing in the study of nucleotide sequences given the knowledge that DNA sequences contain all the information for regulating protein expression. This paper presents a spectral approach for calculating the similarity of protein sequences, which can be useful for the inferences of ...
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Protein Sequence Analysis: Automated Microsequencing

Science, 1983
The automated microsequencing of proteins can now be carried out at the 5- to 10-picomoles (submicrogram) level on polypeptides obtained directly from one- and two-dimensional gel electrophoresis. The techniques are applicable to polypeptides ranging in size from small peptides (less than 10 residues) to large proteins (more than 1000 residues).
Hunkapiller, Michael W., Hood, Leroy E.
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Compact Protein Sequencer for the C-Terminal Sequence Analysis of Peptides and Proteins

Analytical Biochemistry, 1993
We describe the construction of a compact protein sequencer designed specifically for the C-terminal sequence analysis of peptides and proteins. This sequencer has a vertical flow path and is equipped with a continuous flow reactor (CFR). The flow paths for the various reagents and solvents have been minimized.
J M, Bailey, M, Rusnak, J E, Shively
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Chemical methods of protein sequence analysis

Journal of Chromatography A, 1995
Chemical methods of protein sequence determination are reviewed with particular emphasis on methodology for increasing the sensitivity of amino-terminal sequence analysis and on progress toward the development of an automated procedure for sequential degradation from the carboxy-terminus.
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PROTEAN: Protein Sequence Analysis and Prediction

Molecular Biotechnology, 2000
The archaeal, bacterial, andeukaryotic genome projects have overwhelmed our ability to experimentally elucidate the function of each novel gene and gene product. To a certain extent, protein functional assignments can be derived via sequence similarity measures and direct primary sequence analysis using methods to predict hydropathy, secondary ...
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Solid-phase protein sequence analysis

Nature, 1990
The solutions to many protein analytical problems require flexible chemistries at a high sensitivity. Solid-phase sequence analysis is one way to eliminate limitations inherent in current methods.
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Granular Approach for Protein Sequence Analysis

2012
Granular computing uses granules as basic units to compute with. Granules can be formed by either information abstraction or information decomposition. In this paper, we view information decomposition as a paradigm for processing data with complex structures.
Ying Xie 0001   +4 more
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