Title :
Using data compression for multidimensional distribution analysis [molecular biology]
Author :
Onizuka, Kentaro ; Noguchi, Tamotsu ; Akiyama, Yutaka ; Matsuda, Hideo
Author_Institution :
Adv. Technol. Res. Labs., Matsushita Electr. Ind. Co. Ltd., Kyoto, Japan
Abstract :
A new method for multi-dimensional distribution analysis using a data compression technique applied to the knowledge-based mean-force potentials between residues for the analysis of protein sequence-structure compatibility performs much better than that of conventional 1D distance-based potentials derived from binned distributions.
Keywords :
biology computing; computer aided analysis; data analysis; data compression; knowledge based systems; molecular biophysics; molecular configurations; physics computing; potential energy functions; proteins; sequences; binned distributions; data compression; distance-based potentials; intelligent systems; knowledge-based mean-force potentials; molecular biology; multi-dimensional distribution analysis; protein residues; protein sequence-structure compatibility; Aerospace industry; Computer industry; Data compression; Histograms; Image analysis; Image coding; Image sequence analysis; Multidimensional systems; Proteins; Space technology;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2002.1005631
