Results 211 to 220 of about 1,953,840 (266)
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NPS@: Network Protein Sequence Analysis

Trends in Biochemical Sciences, 2000
The authors like to acknowledge financial support from CNRS, MENESR and Region Rhone-Alpes and thank all computing teams that have developed biocomputing methods for protein sequence analysis. C. Combet is the recipient of an ANRS doctoral fellowship. Thanks are due to D. Mandelman for textual improvements.
Gilbert Deleage   +2 more
exaly   +3 more sources

Analysis of protein sequence similarity

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010
This paper proposes a novel method for analyzing similarities of protein sequences based on features generated from the hydropathy properties of amino acid sequences. At first using the hydropathy characteristics, the protein sequences are converted into fixed-dimensional feature vectors. Based on these feature vectors, we analyze nine ND5 proteins and
Yusen Zhang 0002, Xiangtian Yu
openaire   +1 more source

Computational Methods for Protein Sequence Analysis

Current Protocols in Protein Science, 1995
AbstractThis unit is presented as a guide to addressing the issue of what to do with a protein sequence once it is obtained. A theoretical background for protein sequence analysis is provided first, followed by a discussion of matrix methods for sequence comparison ().
G, Michaels, R, Garian
openaire   +2 more sources

Protein Sequence Analysis

2017
ExPASy (Expert Protein Analysis System) is a Bioinformatics Resource Portal from Swiss Institute of Bioinformatics that offers Bioinformatics support like accessing scientific databases and software tools for the research in life sciences.
Kalibulla Syed Ibrahim   +7 more
openaire   +1 more source

Hydrophobicity Profiles for Protein Sequence Analysis

Current Protocols in Protein Science, 1995
AbstractHydrophobic interactions are a major force in protein folding and numerous hydropathy scales have been developed to quantify the relative hydrophobicity of the amino acids. Hydropathy profiles can be used to examine the surface features of proteins in order to generate hypotheses that can be confirmed experimentally.
S R, Krystek, W J, Metzler, J, Novotny
openaire   +2 more sources

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 ...
openaire   +2 more sources

Analysis of similarity/dissimilarity of protein sequences

Proteins: Structure, Function, and Bioinformatics, 2008
AbstractOn the basis of a selected pair of physicochemical properties of amino acids, we introduce a dynamic 2D graphical representation of protein sequences. Then, we introduce and compare two numerical characterizations of protein graphs as descriptors to analyze the nine ND5 proteins. The approach is simple, convenient, and fast.
Yu-Hua, Yao   +5 more
openaire   +2 more sources

Computer analysis of protein sequences

1974
Most interesting of all of the biochemical components of living organisms are proteins and nucleic acids because of their potential for diversity in structure and function and their key positions in the evolutionary feedback system of each species. Sequence studies on these molecules have been carried out for various purposes in a number of disciplines:
openaire   +2 more sources

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 ...
openaire   +1 more source

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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