Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

NLDB

General information

URL: http://nldb.hgc.jp
Full name: Natural Ligand DataBase
Description: A database of protein-ligand interactions in three-dimension. The ligand in the database is a "natural ligand" generated by the knowledge of enzymatic reactions appeared in KEGG combined with a three-dimensional data of protein-analog interactions in PDB.
Year founded: 2016
Last update:
Version:
Accessibility:
Accessible
Country/Region: Japan

Classification & Tag

Data type:
Data object:
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Major species:
Keywords:

Contact information

University/Institution: Tohoku University
Address: Graduate School of Information Sciences, Tohoku University, Aramaki-Aza-Aoba 6-3-09, Aoba-ku, Sendai, 980-8575 Japan
City:
Province/State:
Country/Region: Japan
Contact name (PI/Team): Kengo Kinoshita
Contact email (PI/Helpdesk): pj.ca.ukohot.iece@ognek

Publications

27530928
NLDB: a database for 3D protein-ligand interactions in enzymatic reactions. [PMID: 27530928]
Murakami Y, Omori S, Kinoshita K.

NLDB (Natural Ligand DataBase; URL: http://nldb.hgc.jp ) is a database of automatically collected and predicted 3D protein-ligand interactions for the enzymatic reactions of metabolic pathways registered in KEGG. Structural information about these reactions is important for studying the molecular functions of enzymes, however a large number of the 3D interactions are still unknown. Therefore, in order to complement such missing information, we predicted protein-ligand complex structures, and constructed a database of the 3D interactions in reactions. NLDB provides three different types of data resources; the natural complexes are experimentally determined protein-ligand complex structures in PDB, the analog complexes are predicted based on known protein structures in a complex with a similar ligand, and the ab initio complexes are predicted by docking simulations. In addition, NLDB shows the known polymorphisms found in human genome on protein structures. The database has a flexible search function based on various types of keywords, and an enrichment analysis function based on a set of KEGG compound IDs. NLDB will be a valuable resource for experimental biologists studying protein-ligand interactions in specific reactions, and for theoretical researchers wishing to undertake more precise simulations of interactions.

J Struct Funct Genomics. 2016:17(4) | 7 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5675/6895 (17.708%)
Raw bio-data:
457/582 (21.649%)
Structure:
784/967 (19.028%)
Interaction:
1033/1194 (13.568%)
5675
Total Rank
7
Citations
0.778
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Hizran Khatoon [2018-04-13]