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Predicting new indications for approved drugs using a proteochemometric method.

Predicting new indications for approved drugs using a proteochemometric method.

http://www.wikidata.org/entity/Q36165369

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Big data: the next frontier for innovation in therapeutics and healthcare ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation Improving chemical similarity ensemble approach in target prediction Cadherin-11 in poor prognosis malignancies and rheumatoid arthritis: common target, common therapies Construction of drug network based on side effects and its application for drug repositioning SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association Proteochemometric modeling in a Bayesian framework.LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning.Repurposing Drugs in Oncology (ReDO)-mebendazole as an anti-cancer agent Target deconvolution techniques in modern phenotypic profiling.PubChem applications in drug discovery: a bibliometric analysis Naturally occurring polyphenol, morin hydrate, inhibits enzymatic activity of N-methylpurine DNA glycosylase, a DNA repair enzyme with various roles in human disease.Effective treatment of diverse medulloblastoma models with mebendazole and its impact on tumor angiogenesis.Brain Penetration and Efficacy of Different Mebendazole Polymorphs in a Mouse Brain Tumor Model.DrugGenEx-Net: a novel computational platform for systems pharmacology and gene expression-based drug repurposing.Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.Repurposing of nitroxoline as a potential anticancer agent against human prostate cancer: a crucial role on AMPK/mTOR signaling pathway and the interplay with Chk2 activation Efficacy and safety of tribendimidine against Clonorchis sinensis.Cadherin-11 expression is upregulated in invasive human breast cancer.On the Integration of In Silico Drug Design Methods for Drug Repurposing.The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.Exploring the epigenetic drug discovery landscape.Identification of flubendazole as potential anti-neuroblastoma compound in a large cell line screen.The repurposed anthelmintic mebendazole in combination with trametinib suppresses refractory NRASQ61K melanoma Towards drug repositioning: a unified computational framework for integrating multiple aspects of drug similarity and disease similarity.Drug repurposing a reality: from computers to the clinic.The purpose of repurposing.Maximizing computational tools for successful drug discovery.Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling.RepurposeVS: A Drug Repurposing-Focused Computational Method for Accurate Drug-Target Signature Predictions.Polypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospects Predicting Molecular Targets for Small-Molecule Drugs with a Ligand-Based Interaction Fingerprint Approach.Structural analysis of protein-ligand interactions: the binding of endogenous compounds and of synthetic drugs Online structure-based screening of purchasable approved drugs and natural compounds: retrospective examples of drug repositioning on cancer targets

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P2860

Predicting new indications for approved drugs using a proteochemometric method.

http://www.wikidata.org/entity/Q36165369

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2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

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2012年學術文章

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name

Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Predicting new indications for approved drugs using a proteochemometric method.

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Ashwini Seshasayee

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Aykut Uren

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Milton L Brown

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Naiem T Issa

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Oakland J Peters

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Shahin Assefnia

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Sivanesan Dakshanamurthy

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Stephen W Byers

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Subha Madhavan

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P2860

Predicting new molecular targets for known drugs

PREDICT: a method for inferring novel drug indications with application to personalized medicine

A class of selective antibacterials derived from a protein kinase inhibitor pharmacophore

Drug Repositioning and Pharmacophore Identification in the Discovery of Hookworm MIF Inhibitors

SCOP: a structural classification of proteins database for the investigation of sequences and structures

The price of innovation: new estimates of drug development costs

Structure-based drug design: docking and scoring

A quantitative analysis of kinase inhibitor selectivity

How to improve R&D productivity: the pharmaceutical industry's grand challenge

Drug discovery using chemical systems biology: repositioning the safe medicine Comtan to treat multi-drug and extensively drug resistant tuberculosis

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10.1021/JM300576Q

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proteochemometrics

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3419493

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