ONRLDB-manually curated database of experimentally validated ligands for orphan nuclear receptors: insights into new drug discovery

被引:13
|
作者
Nanduri, Ravikanth
Bhutani, Isha
Somavarapu, Arun Kumar
Mahajan, Sahil
Parkesh, Raman
Gupta, Pawan
机构
来源
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2015年
关键词
LIPID-METABOLISM; PPAR-GAMMA; RESOURCE; TR4;
D O I
10.1093/database/bav112
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Orphan nuclear receptors are potential therapeutic targets. The Orphan Nuclear Receptor Ligand Binding Database (ONRLDB) is an interactive, comprehensive and manually curated database of small molecule ligands targeting orphan nuclear receptors. Currently, ONRLDB consists of similar to 11 000 ligands, of which similar to 6500 are unique. All entries include information for the ligand, such as EC50 and IC50, number of aromatic rings and rotatable bonds, XlogP, hydrogen donor and acceptor count, molecular weight (MW) and structure. ONRLDB is a cross-platform database, where either the cognate small molecule modulators of a receptor or the cognate receptors to a ligand can be searched. The database can be searched using three methods: text search, advanced search or similarity search. Substructure search, cataloguing tools, and clustering tools can be used to perform advanced analysis of the ligand based on chemical similarity fingerprints, hierarchical clustering, binning partition and multidimensional scaling. These tools, together with the Tree function provided, deliver an interactive platform and a comprehensive resource for identification of common and unique scaffolds. As demonstrated, ONRLDB is designed to allow selection of ligands based on various properties and for designing novel ligands or to improve the existing ones.
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页数:16
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