Name
Title | ||
|---|---|---|
Extraction of substructures of proteins essential to their biological functions by a data mining technique. |
Abstract | ||
|---|---|---|
Correlation between the sequential, structural, and functional features of proteins is one of the most important open questions in the field of molecular biology. To this problem, we apply a technique known as data mining for discovering associations across protein sequence, structure, and function. We were able to find various association rules on the substructures essential to some protein functions. Moreover, structure-structure associations were found between proteins having different functions. The results suggest that data mining might be a powerful tool in protein analysis. |
Year | Venue | Keywords |
|---|---|---|
1997 | ISMB | biological functions,proteins essential,data mining technique,data mining |
Field | DocType | Volume |
Data mining,Protein sequencing,Computer science,Molecule mining,Association rule learning,Bioinformatics | Conference | 5 |
ISSN | ISBN | Citations |
1553-0833 | 1-57735-022-7 | 1 |
PageRank | References | Authors |
0.54 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenji Satou | 1 | 206 | 21.92 |
| Toshihide Ono | 2 | 216 | 12.78 |
| Y Yamamura | 3 | 1 | 0.54 |
| Emiko Furuichi | 4 | 10 | 3.85 |
| Satoru Kuhara | 5 | 731 | 95.54 |
| Toshihisa Takagi | 6 | 858 | 102.84 |