Title
Optimizing property codes in protein data reveals structural characteristics
Abstract
We search for assignments of numbers to the amino acids (property codes) that maximize the autocorrelation function signal in given protein sequence data by an iterative method. Our method yields similar results to optimization with the related extended Jacobi method for joint diagonalization and standard optimization tools. In nonhomologous sets representative of all proteins we find optimal property codes that are similar to hydrophobicity but yield much clearer correlations. Another property code related to α-helix propensity plays a less prominent role representing a local optimum. We also apply our method to sets of proteins known to have a high content of α- or β-structures and find property codes reflecting the specific correlations in these structures.
Year
DOI
Venue
2003
10.1007/3-540-44989-2_30
ICANN
Keywords
Field
DocType
clearer correlation,nonhomologous sets representative,structural characteristic,amino acid,protein data,optimal property code,autocorrelation function signal,optimizing property code,property code,standard optimization tool,method yields similar result,iterative method,related extended jacobi method,iteration method,jacobi method,protein sequence,autocorrelation function
Protein sequencing,Jacobi method,Local optimum,Iterative method,Algorithm,Correlation,Sequential quadratic programming,Mathematics,Autocorrelation
Conference
Volume
ISSN
ISBN
2714
0302-9743
3-540-40408-2
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Olaf Weiss100.34
Ziehe, Andreas261772.50
Hanspeter Herzel328346.96