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10.1093/database/bav112 http://scihub22266oqcxt.onion/10.1093/database/bav112 C4669993!4669993 !26637529     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26637529 &cmd=llinks): Failed to open stream: HTTP request failed! 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ONRLDB--manually curated database of experimentally validated ligands for orphan nuclear receptors: insights into new drug discovery |pdf=|usr=}}{{26637529 }} gab.com Text ONRLDB--manually curated database of experimentally validated ligands for orphan nuclear receptors: insights into new drug discovery JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=26637529 #FOAvip 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 ?11,000 ligands, of which ?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. Database URL: http://www.onrldb.org/. Twit Text FOAVip ONRLDB--manually curated database of experimentally validated ligands for orphan nuclear receptors: insights into new drug discovery ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=26637529 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26637529 #FOAvip English Wikipedia <ref>{{Cite pmid|26637529 }}</ref> ONRLDB--manually curated database of experimentally validated ligands for orphan nuclear receptors: insights into new drug discovery #MMPMID26637529 Nanduri R ; Bhutani I ; Somavarapu AK ; Mahajan S ; Parkesh R ; Gupta P Database (Oxford) 2015[]; 2015 (ä): ä PMID26637529 show ga 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 ?11,000 ligands, of which ?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. Database URL: http://www.onrldb.org/. |*Databases, Protein [MESH] |*Drug Discovery [MESH] |Cluster Analysis [MESH] |Data Mining [MESH] |Inflammation/metabolism [MESH] |Information Storage and Retrieval [MESH] |Internet [MESH] |Ligands [MESH] |Liver X Receptors [MESH] |Orphan Nuclear Receptors/*metabolism [MESH] |PPAR gamma/metabolism [MESH]ONRLDB--manually curated database of experimentally validated ligands (epmc).pdf DeepDyve Pubget Overpricing