NLDB: a database for 3D protein-ligand interactions in enzymatic reactions.

Yoichi Murakami, Satoshi Omori, Kengo Kinoshita
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引用次数: 6

Abstract

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.

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NLDB:酶促反应中三维蛋白质-配体相互作用的数据库。
天然配体数据库;URL: http://nldb.hgc.jp)是一个自动收集和预测三维蛋白质-配体相互作用的数据库,用于在KEGG中记录的代谢途径的酶促反应。这些反应的结构信息对于研究酶的分子功能是重要的,然而大量的三维相互作用仍然是未知的。因此,为了补充这些缺失的信息,我们预测了蛋白质-配体复合物的结构,并构建了反应中三维相互作用的数据库。NLDB提供三种不同类型的数据资源;天然配合物是实验确定的PDB中蛋白质-配体的配合物结构,模拟配合物是根据已知的具有相似配体的配合物中的蛋白质结构来预测的,而从头算配合物是通过对接模拟来预测的。此外,NLDB显示了人类基因组中已知的蛋白质结构多态性。该数据库具有基于多种关键字的灵活搜索功能,以及基于一组KEGG复合id的丰富分析功能。NLDB将成为研究特定反应中蛋白质-配体相互作用的实验生物学家和希望进行更精确的相互作用模拟的理论研究人员的宝贵资源。
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Structural Genomics: General Applications Classification of ligand molecules in PDB with graph match-based structural superposition HOMCOS: an updated server to search and model complex 3D structures. NLDB: a database for 3D protein-ligand interactions in enzymatic reactions. Toward the next step in G protein-coupled receptor research: a knowledge-driven analysis for the next potential targets in drug discovery
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