about
Drug Repurposing Is a New Opportunity for Developing Drugs against Neuropsychiatric DisordersMetabolomics and systems pharmacology: why and how to model the human metabolic network for drug discoveryA multi-label approach to target prediction taking ligand promiscuity into accountDASPfind: new efficient method to predict drug–target interactionsTranslating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Characterizing the network of drugs and their affected metabolic subpathwaysPrediction of drug-target interactions for drug repositioning only based on genomic expression similarityNetwork medicine: a network-based approach to human diseasePolypharmacology in Precision Oncology: Current Applications and Future ProspectsPromiscuity and the conformational rearrangement of drug-like molecules: insight from the protein data bank.Identifying compound-target associations by combining bioactivity profile similarity search and public databases mining.Polypharmacology: drug discovery for the future.C²Maps: a network pharmacology database with comprehensive disease-gene-drug connectivity relationships.Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it.An analysis of a 'community-driven' reconstruction of the human metabolic networkPhenotyping drug polypharmacology via eicosanoid profiling of blood.Azidobupramine, an Antidepressant-Derived Bifunctional Neurotransmitter Transporter Ligand Allowing Covalent Labeling and Attachment of Fluorophores.Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.Missing Value Estimation for Compound-Target Activity Data.Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applicationsMonocarbonyl curcumin analogues: heterocyclic pleiotropic kinase inhibitors that mediate anticancer properties.Similarity-based machine learning methods for predicting drug-target interactions: a brief review.Resolution of quadruplex polymorphism by size-exclusion chromatography.Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.Comparing Drug Images and Repurposing Drugs with BioGPS and FLAPdock: The Thymidylate Synthase Case.Polypharmacology of Small-Molecule Modulators of the 5-Lipoxygenase Activating Protein (FLAP) Observed via a High-throughput Lipidomics Platform.An Integrative Drug Repurposing Pipeline: Switching Viral Drugs to Breast Cancer.Systematic prediction of drug combinations based on clinical side-effects.VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.ChemSAR: an online pipelining platform for molecular SAR modeling.Revealing the macromolecular targets of complex natural products.Network-based drugs: promise and clinical challenges in cardiovascular disease.Polypharmacology: the rise of multitarget drugs over combination therapies.A systematic study of chemogenomics of carbohydrates.
P2860
Q26748728-806C73C3-E772-4536-BC89-14F37096061EQ27144251-C957AAE7-2CD4-46C7-8ADD-C04D49138BA9Q27902280-2C925D99-EAAC-4E91-A338-D075BDF78EDFQ27902360-FB3CE598-C1CD-498C-BA0A-9CD883B1FAB3Q28478443-C55E69A3-C195-4827-AADB-4A5FB40B9479Q28484558-41C44B1E-DFDF-4D78-AC6D-C2CFD999D50CQ28534907-196CADA4-CD6B-4CAE-94EE-5C5674D30F8FQ29547462-D2548762-FBC6-47FC-9F4A-58CC1D6F4BD6Q30846907-627C7AEF-F7E3-44B0-B5F7-94D3156B5EA1Q30876537-0C7DF704-7862-4510-80EA-BB971B2A9517Q33990658-347F43A7-68C8-4E32-A77F-B8AD25FD3C81Q34319906-BED519E6-EA80-4CD8-A543-B650D131DBD8Q34470187-B825E197-3F77-496A-B032-400B7C640FBDQ34646772-2DD57FF7-B452-4C85-AB1A-015CF4FBBFECQ34867072-F60692EE-CC20-4B77-8CE4-A714D97BD44BQ35886279-BD374A9D-323A-4353-9335-2D833F71D3CCQ35919818-62C6B862-FA17-4C8D-9C39-FD5C2E8C589EQ36087088-FEA22E15-2C09-4CEF-A756-567CBED8A069Q36087357-E173C859-BB9E-486B-8B68-C09E856C3402Q36933260-AD67B31F-F151-4665-B17F-200E9256A32CQ37590102-303A057F-66C8-4E2B-BDEC-F01DA8AF6085Q38128158-C6436F1A-4A42-481C-95C8-3AD10358BC89Q38426871-3DD55148-1938-4649-86FF-B4E3BDEEB6B8Q38959281-A148D4FE-8301-434A-B840-F63CEE55C160Q39609944-CD182D35-D13C-4211-B946-C49524547517Q40459780-D974293C-1608-4D98-8AB4-59B5B13A3F39Q40469984-23C4C65F-6487-4855-AFCC-78B506621E69Q42050971-C7DEA3C5-CE2E-4310-BD66-3555433A9B41Q42278847-EF99E15F-28C4-4887-B272-94EFEC10982CQ43089449-0B088657-1FD3-4C88-B16F-F2E7531F862DQ48251327-6CAA62C9-72C4-448C-BAD4-F7F0BF965367Q51076612-0745CB82-056E-4EF0-87E1-6C339F572275Q51290700-2F74964C-DEF0-46F5-BB63-AAE89B740693Q53631411-2D091F5C-1B0D-4B2C-BEA2-974E87D0A024
P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Drug discovery: Predicting promiscuity
@ast
Drug discovery: Predicting promiscuity
@en
Drug discovery: Predicting promiscuity
@nl
type
label
Drug discovery: Predicting promiscuity
@ast
Drug discovery: Predicting promiscuity
@en
Drug discovery: Predicting promiscuity
@nl
prefLabel
Drug discovery: Predicting promiscuity
@ast
Drug discovery: Predicting promiscuity
@en
Drug discovery: Predicting promiscuity
@nl
P356
P1433
P1476
Drug discovery: Predicting promiscuity
@en
P2093
Andrew L Hopkins
P2888
P304
P356
10.1038/462167A
P407
P577
2009-11-01T00:00:00Z
P6179
1015287217