DocumentCode :
1612831
Title :
An alphabet of amino acid conformations in protein
Author :
Miller, R.T. ; Douthart, R.J. ; Dunker, A.K.
Author_Institution :
Dept. of Biochem. & Biophys., Washington State Univ., Pullman, WA, USA
fYear :
1993
Firstpage :
689
Abstract :
An approach to the representation of individual amino acids using dihedral angle measurements, based on the maxi-min distance algorithm presented by J.T. Tou and R.C. Gonzalez (1974), is outlined. The methodology, based on maxi-min and data set partitions, generates 124 distinct cluster centers from 19121 total residues. While only 18 of the 124 capture 1% or more of the data set, the first cis-proline conformation is 49th in population and suggests that over fifty centers may be significant. Four applications of these centers are demonstrated: representation of individual proteins, tripeptide sequence dependency, analysis of neighboring centers, and a simple structure prediction algorithm.
Keywords :
biology computing; macromolecular configurations; physics computing; proteins; alphabet; amino acid conformations; cis-proline conformation; cluster centers; data set partitions; dihedral angle measurements; maxi-min distance algorithm; neighboring centers; protein; residues; structure prediction algorithm; tripeptide sequence dependency; Algorithm design and analysis; Amino acids; Biochemistry; Biophysics; Bonding; Clustering algorithms; Goniometers; Laboratories; Partitioning algorithms; Prediction algorithms; Proteins; Sequences; Spine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1993, Proceeding of the Twenty-Sixth Hawaii International Conference on
Print_ISBN :
0-8186-3230-5
Type :
conf
DOI :
10.1109/HICSS.1993.270672
Filename :
270672
Link To Document :
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