Relating drug-protein interaction network with drug side effects.
about
A survey on the computational approaches to identify drug targets in the postgenomic eraStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewChemical named entities recognition: a review on approaches and applicationsAdverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machinesElucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomicsSystematic identification of proteins that elicit drug side effectsComputational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features.Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug TrialsInferring protein domains associated with drug side effects based on drug-target interaction networkPredicting drug side effects by multi-label learning and ensemble learningTargetNet: a web service for predicting potential drug-target interaction profiling via multi-target SAR models.Drug combinatorics and side effect estimation on the signed human drug-target network.Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.Improving compound-protein interaction prediction by building up highly credible negative samples.Predicting drug-target interactions using restricted Boltzmann machines.Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles.Targeting molecular networks for drug researchUsing quantitative systems pharmacology for novel drug discovery.Inferring Chemogenomic Features from Drug-Target Interaction Networks.Multivariate Analysis of Side Effects of Drug Molecules Based on Knowledge of Protein Bindings and ProteinProtein Interactions.Comparing Drug Images and Repurposing Drugs with BioGPS and FLAPdock: The Thymidylate Synthase Case.Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbationsPhenotypic side effects prediction by optimizing correlation with chemical and target profiles of drugs.Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.Relating Essential Proteins to Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach.A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.DrugECs: An Ensemble System with Feature Subspaces for Accurate Drug-Target Interaction Prediction.Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models.Quantitative prediction of drug side effects based on drug-related features.A unified frame of predicting side effects of drugs by using linear neighborhood similarity.Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles.Building protein-protein interaction networks for Leishmania species through protein structural information.A hierarchical anatomical classification schema for prediction of phenotypic side effects.Predicting serious rare adverse reactions of novel chemicals.Changing Trends in Computational Drug Repositioning.System Pharmacology-Based Strategy to Decode the Synergistic Mechanism of Zhi-zhu Wan for Functional Dyspepsia
P2860
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P2860
Relating drug-protein interaction network with drug side effects.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Relating drug-protein interaction network with drug side effects.
@en
type
label
Relating drug-protein interaction network with drug side effects.
@en
prefLabel
Relating drug-protein interaction network with drug side effects.
@en
P2093
P2860
P356
P1433
P1476
Relating drug-protein interaction network with drug side effects.
@en
P2093
Edouard Pauwels
Sayaka Mizutani
Susumu Goto
Véronique Stoven
Yoshihiro Yamanishi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS383
P407
P577
2012-09-01T00:00:00Z