about
Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.Systematic drug repositioning through mining adverse event data in ClinicalTrials.govCATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice.Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.Integrative Analysis of Disease Signatures Shows Inflammation Disrupts Juvenile Experience-Dependent Cortical Plasticity.Systematic integration of biomedical knowledge prioritizes drugs for repurposing.A systematic analysis of FDA-approved anticancer drugs.A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment.Editorial: Improving Neuropharmacology using Big Data, Machine Learning and Computational Algorithms.Combining in vitro and in silico approaches to find new drugs targeting the pathological proteins related to the Alzheimer's disease.Drug repurposing may generate novel approaches to treating depression.Drug Repositioning in the Mirror of Patenting: Surveying and Mining Uncharted Territory.Drug Repositioning in Glioblastoma: A Pathway Perspective.Drug Repositioning for Effective Prostate Cancer Treatment.A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease.Modeling polypharmacy side effects with graph convolutional networks.Proximal Pathway Enrichment Analysis for Targeting Comorbid Diseases via Network EndopharmacologyIntegrative bioinformatics identifies postnatal lead (Pb) exposure disrupts developmental cortical plasticityPharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data miningUsing predicate and provenance information from a knowledge graph for drug efficacy screening
P2860
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P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
In silico methods for drug repurposing and pharmacology
@en
type
label
In silico methods for drug repurposing and pharmacology
@en
prefLabel
In silico methods for drug repurposing and pharmacology
@en
P2093
P2860
P356
P1476
In silico methods for drug repurposing and pharmacology
@en
P2093
Ben P Readhead
Joel T Dudley
Khader Shameer
Rachel A Hodos
P2860
P304
P356
10.1002/WSBM.1337
P50
P577
2016-04-15T00:00:00Z