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Emiko Furuichi

dblp:10/5175 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein structure analysis
0.021997
Application of a deductive database system to search for topological and similar three-dimensional structures in protein · Comput. Appl. Biosci. 1997
A deductive database system PACADE for analyzing 3-D and secondary structures of protein · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis
0.011997
Extraction of Substructures of Proteins Essential to their Biological Functions by a Data Mining Technique · ISMB 1997
Bioinformatics and computational biology › protein structure analysis
structural similarity search
0.011997
Application of a deductive database system to search for topological and similar three-dimensional structures in protein · Comput. Appl. Biosci. 1997

Methods — techniques the papers use, named apart from their topics

deductive database · 0.0declarative rules · 0.0data mining · 0.0logic programming · 0.0deductive inference · 0.0
YearPublicationVenuePosition
2001 Learning Conformation Rules
Osamu Maruyama, Takayoshi Shoudai, Emiko Furuichi, Satoru Kuhara, Satoru Miyano
Discovery Science3
1997 Extraction of Substructures of Proteins Essential to their Biological Functions by a Data Mining Technique
Kenji Satou, Toshihide Ono, Yoshihisa Yamamura, Emiko Furuichi, Satoru Kuhara, Toshihisa Takagi
ISMB4
1997 Application of a deductive database system to search for topological and similar three-dimensional structures in protein
abstract
A deductive database system PACADE (Protein Atomic Coordinate Analyzer with Deductive Engine) has been developed for protein structure analysis. With this system, super-secondary structures described in logical and declarative rules can be retrieved effectively. For protein structure analysis, comparison of local structures in different proteins is a necessary mean. A function to search for similar structures has, therefore, been added to the PACADE system. We describe herein the result of searches for the same topological structures and three-dimensionally similar ones. A user of PACADE can select these two levels of similarity by changing parameters. This function enables the inference system to retrieve similar structures, according to the restraints of variables defined by the user. Similar super-secondary structures among proteins can be searched for automatically, which is useful for protein structure analysis. The retrieved similar super-secondary structures can serve as criteria for protein spatial alignment.
Y. Tsukamoto, Kyoko Takiguchi, Kenji Satou, Emiko Furuichi, Toshihisa Takagi, Satoru Kuhara
Comput. Appl. Biosci.4
1993 A deductive database system PACADE for analyzing 3-D and secondary structures of protein
abstract
We have developed a deductive database system PACADE for analyzing 3-D and secondary structures of protein. The PACADE system consists of a relational database created from Protein Data Bank and a deductive engine DEE based on logic programming. It has the following features: (1) The system has an inference mechanism. This means by which users can easily write and check biological hypotheses using logical and declarative rules instead of procedural programs. (2) The relational database of the PACADE system stores data on both 3-D and secondary structures of protein. The integration of this two level structure makes feasible an abstract representation of the protein structure. We describe herein the design, functions, and implementation of this PACADE system.
Kenji Satou, Emiko Furuichi, Kyoko Takiguchi, Toshihisa Takagi, Satoru Kuhara
Comput. Appl. Biosci.2