SuperTarget and Matador: resources for exploring drug-target relationships - Wikidata - wikimedia - TriplyDB

SuperTarget and Matador: resources for exploring drug-target relationships

SuperTarget and Matador: resources for exploring drug-target relationships

http://www.wikidata.org/entity/Q27136964

about

sameAs

CancerResource: a comprehensive database of cancer-relevant proteins and compound interactions supported by experimental knowledge DrugBank 3.0: a comprehensive resource for 'omics' research on drugs Systematic analysis of the associations between adverse drug reactions and pathways Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data STITCH 4: integration of protein-chemical interactions with user data STITCH 2: an interaction network database for small molecules and proteins PREDICT: a method for inferring novel drug indications with application to personalized medicine BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions DASPfind: new efficient method to predict drug–target interactions STITCH: interaction networks of chemicals and proteins Combinations of protein-chemical complex structures reveal new targets for established drugs Network neighbors of drug targets contribute to drug side-effect similarity Assessing drug target association using semantic linked data Prediction of drug-target interactions and drug repositioning via network-based inference Chapter 3: Small molecules and disease Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data Open-source approaches for the repurposing of existing or failed candidate drugs: learning from and applying the lessons across diseases ASDCD: antifungal synergistic drug combination database Adverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machines Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction Drug Repositioning for Cancer Therapy Based on Large-Scale Drug-Induced Transcriptional Signatures PharmDB-K: Integrated Bio-Pharmacological Network Database for Traditional Korean Medicine A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism Link prediction in drug-target interactions network using similarity indices Determining similarity of scientific entities in annotation datasets Public domain databases for medicinal chemistry Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics Inferences of drug responses in cancer cells from cancer genomic features and compound chemical and therapeutic properties MBROLE 2.0-functional enrichment of chemical compounds DrugQuest - a text mining workflow for drug association discovery Drug target identification using side-effect similarity STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data STITCH 3: zooming in on protein-chemical interactions Systematic identification of proteins that elicit drug side effects Building a virtual ligand screening pipeline using free software: a survey DetoxiProt: an integrated database for detoxification proteins Effects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction.Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.

P2860

Q24608632-83AF27B6-862E-4F28-A6FE-FD28BE6A966F Q24612505-7CC84D26-BBED-4C55-B818-256FA5A024E5 Q26779991-703101C0-798D-4FFE-94B3-2FA0BFF1D91F Q27008867-8A26160D-DDC6-4662-9237-734921872EE0 Q27136634-83002B19-D80E-419A-A211-6345A1AACD61 Q27136674-C27FA92D-FA0F-4BD5-B2F4-46BDFDE85897 Q27137016-D1D89CD6-01E9-49A2-B9E1-1B2C1B877958 Q27137071-244E85E6-BF40-49F5-87E6-59A9E18FC7D6 Q27902315-B93F68F8-BBBC-486E-A543-28E50D4760E3 Q27902360-B4F0C85C-8FD7-44CA-BDF3-9C481C2DC58F Q28465606-80AAEAAC-BB2E-4AB2-B82F-A579E22A3E62 Q28478053-3ACE1BC6-1696-4A12-80BD-05B71BE52C50 Q28479003-9960BFD6-F747-4AD5-B25E-CC53DE55127F Q28480992-3A64E40A-EFA3-4399-95E4-40EAF36D8F80 Q28483634-534A4A02-3807-41FA-8D18-B7DFECF36639 Q28484584-71026642-5662-4369-9626-044E7E4C8F3A Q28534336-65810D91-1701-40C4-AD3B-59532BB172EE Q28534990-FBD21D56-6FC4-4AC0-90A7-4A9F83FDD73A Q28535314-DE27A3E9-06F3-4D0F-AC0A-6C35B37FA59D Q28539135-DA2827B4-DD90-4354-93B7-DC960BF96D11 Q28542829-63736178-8B7C-4594-B9C3-8224C6424796 Q28550158-F86A75E4-9D9C-416F-9594-15F6E51896A3 Q28550603-78B6968A-E0E9-4627-8065-931948BC5379 Q28550827-4E114A9A-3F23-497F-A01C-78BAF1186709 Q28553224-78DAA3AF-A426-4879-AE39-9291BA54E067 Q28563955-FB378439-A2F5-4434-9979-7311079C7F60 Q28649315-D5CD49D7-D4B9-40FB-815E-220BC7ABB4D0 Q28728238-96D8E383-8378-4D3C-A365-39A92CE36C5D Q28817678-9184FB92-B0E0-4DFD-AD95-6CCDFF035F36 Q28829729-09A71DD0-E218-4A77-A059-F4CE3659A18A Q28830091-58FCB1AD-2B8F-422D-89AC-BDDE3AD20835 Q28830509-7774FB6F-E10D-4C62-85CF-DAA84894383F Q29615103-45910363-6BAF-42BB-BFAB-9750DC68794D Q30002336-853AB319-5F81-45BB-A3A0-45D3DE3FD214 Q30002340-5074182D-5468-4114-A69C-FCCE03A37070 Q30002377-A77F4DC8-CC0F-4E21-8605-C5EAB0969051 Q30044592-B7DF9C15-B0AC-416A-9465-86BA768AEEAC Q30427279-4EC94B9D-AAFF-45C9-8FF7-A6504E95A995 Q30577213-8FB8E876-81F3-46AF-9E2E-12E5B29E66A8 Q31032914-DADB214C-4F5F-4884-835A-72C1A115DCBA

P2860

SuperTarget and Matador: resources for exploring drug-target relationships

http://www.wikidata.org/entity/Q27136964

description

2007 nî lūn-bûn

@nan

2007 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2007 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

@wuu

name

SuperTarget and Matador: resources for exploring drug-target relationships

@ast

SuperTarget and Matador: resources for exploring drug-target relationships

@en

SuperTarget and Matador: resources for exploring drug-target relationships

@nl

type

label

SuperTarget and Matador: resources for exploring drug-target relationships

@ast

SuperTarget and Matador: resources for exploring drug-target relationships

@en

SuperTarget and Matador: resources for exploring drug-target relationships

@nl

prefLabel

SuperTarget and Matador: resources for exploring drug-target relationships

@ast

SuperTarget and Matador: resources for exploring drug-target relationships

@en

SuperTarget and Matador: resources for exploring drug-target relationships

@nl

P1433

Q27136964-31B7E566-9613-475E-B753-D40EED44E68A

P1476

Q27136964-6B99CF3C-986E-4A9A-AC3E-2768E86CF1C6

P2093

Q27136964-30C70B4C-AB07-469C-90B7-84377757B4F0

Q27136964-31678CE6-1508-4739-98E8-0B17B3473FA3

Q27136964-35BECDCF-99F1-4DD6-94AB-59CF95893121

Q27136964-530A207B-FDDB-4D9B-ADE2-0D09015765E5

Q27136964-63EF0C57-BDD5-408F-B7D1-7487536CC22E

Q27136964-6A665E1E-DEDB-4567-855A-9BFDDE1FBF33

Q27136964-A71AE353-52CC-4610-B779-DE1F03229174

Q27136964-D83CDC0B-C5D8-47C3-AD9E-6CA8C33E6433

P2860

Q27136964-05FB5E7E-C073-4F14-8CFE-F591411C1A88

Q27136964-05a0c824-4b00-33f4-28d0-f5439ad6d840

Q27136964-0DFD6035-8684-44FE-9AEA-0C935CBC847A

Q27136964-17A9AD86-C9DD-4373-9D24-7A768FE0A2BD

Q27136964-1D6A86F0-2793-4AC9-B496-D9F1747197B1

Q27136964-2438B41B-0CCD-45F7-8566-7684838CB513

Q27136964-4BDCA0CA-10EE-44A5-9B97-8C397CA1B0C4

Q27136964-4D8F4207-020A-4204-A930-E4CA2F6C1158

Q27136964-7F9CC45D-86D9-40EF-ADD8-37D5F60561B3

Q27136964-8E62C205-4614-4326-AFA7-A13C4DB7E35B

P304

Q27136964-5455E66D-5F52-4A97-A9C2-FFFDE4EC8D5D

Q27136964-65D06C00-7FA2-4566-AB08-5D6267EF1612

P31

Q27136964-8CD17CE0-B11A-40B0-9697-6560738804E4

P3181

Q27136964-2CAB15B2-5669-46EB-8935-880C6320CAD6

P356

Q27136964-4AC2FCC5-5E2D-43C2-93CC-FA61A391BC88

P407

Q27136964-A7EF58BE-4D93-44E6-86C8-67083C4988C6

P433

Q27136964-0C19C0BC-36C4-43DF-9545-DD29F74FF634

Q27136964-A98DC3CE-540F-464C-BCF5-1A5E7A908567

P478

Q27136964-1EDFE7E8-E424-448C-8B6B-647D4CDD1CF8

P50

Q27136964-014F4FA5-A1BC-4B57-86BA-0B01A406A15F

Q27136964-035759FA-F476-46E7-BFB3-76C5F1EFD273

Q27136964-0BD590C2-41E6-48BE-A6E2-B3F4027A6837

Q27136964-9E2FCD06-8FF4-4350-928D-12CCA24ABEF1

Q27136964-BBFDE275-C42F-4D28-8244-19E15161FC0A

Q27136964-BC57976E-F707-417D-BDD9-DD00AFA72B4F

Q27136964-D3B1FB74-D477-489F-9654-A67D2E4B233B

Q27136964-cf240224-4ef5-4456-af23-f19b9ed86cf6

P577

Q27136964-3E0F0096-E951-465D-B72A-42CF4955EE60

Q27136964-45E618A4-00E9-4934-883D-EC846C3E2210

P5875

Q27136964-E869D268-0310-4297-8FFE-A8FCCE31BF85

P698

Q27136964-DB076A95-EADC-424B-85D4-29EA2841B5E5

P932

Q27136964-E2144C02-84AF-4556-8263-0631EB91D064

P3181

P356

P1433

Nucleic Acids Research

P1476

SuperTarget and Matador: resources for exploring drug-target relationships

@en

P2093

Andreas Gewiess

http://www.w3.org/2001/XMLSchema#string

Christian Senger

http://www.w3.org/2001/XMLSchema#string

Eduardo Garcia Urdiales

http://www.w3.org/2001/XMLSchema#string

Mathias Dunkel

http://www.w3.org/2001/XMLSchema#string

Michael Kuhn

http://www.w3.org/2001/XMLSchema#string

Reinhard Schneider

http://www.w3.org/2001/XMLSchema#string

Roman Skoblo

http://www.w3.org/2001/XMLSchema#string

Stefan Günther

http://www.w3.org/2001/XMLSchema#string

P2860

EBIMed--text crunching to gather facts for proteins from Medline

DrugBank: a comprehensive resource for in silico drug discovery and exploration

From genomics to chemical genomics: new developments in KEGG

TTD: Therapeutic Target Database

STRING: known and predicted protein-protein associations, integrated and transferred across organisms

The RCSB Protein Data Bank: a redesigned query system and relational database based on the mmCIF schema

SuperLigands - a database of ligand structures derived from the Protein Data Bank

SIMAP: the similarity matrix of proteins

Recent Developments of the Chemistry Development Kit (CDK) - An Open-Source Java Library for Chemo- and Bioinformatics

Do structurally similar molecules have similar biological activity?

P304

D919-22

http://www.w3.org/2001/XMLSchema#string

D919-D922

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

608093

http://www.w3.org/2001/XMLSchema#string

P356

10.1093/NAR/GKM862

http://www.w3.org/2001/XMLSchema#string

P407

P433

Database issue

http://www.w3.org/2001/XMLSchema#string

Database

http://www.w3.org/2001/XMLSchema#string

P478

36

http://www.w3.org/2001/XMLSchema#string

P50

Lars Juhl Jensen

Evangelia Petsalaki

Robert B. Russell

Robert Preissner

Monica Campillos

P577

2007-12-23T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

2008-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

5904034

http://www.w3.org/2001/XMLSchema#string

P698

17942422

http://www.w3.org/2001/XMLSchema#string

P932

2238858

http://www.w3.org/2001/XMLSchema#string