Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure
about
Side effect profile prediction - early addressing of big pharma's worst nightmareDrug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening MethodologiesInroads to predict in vivo toxicology-an introduction to the eTOX ProjectAllosteric inhibition of SHP2 phosphatase inhibits cancers driven by receptor tyrosine kinasesTarget prediction utilising negative bioactivity data covering large chemical spaceIn silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulatorsChallenges predicting ligand-receptor interactions of promiscuous proteins: the nuclear receptor PXRTranslating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Network neighbors of drug targets contribute to drug side-effect similarityComparability of mixed IC₅₀ data - a statistical analysisEnhancing hit identification in Mycobacterium tuberculosis drug discovery using validated dual-event Bayesian modelsLooking back to the future: predicting in vivo efficacy of small molecules versus Mycobacterium tuberculosisMachine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug DiscoveryDeciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin ActionComputational prediction and validation of an expert's evaluation of chemical probesA side effect resource to capture phenotypic effects of drugsSystematic identification of proteins that elicit drug side effectsLarge-scale prediction of drug-target relationshipsApplication of the 4D fingerprint method with a robust scoring function for scaffold-hopping and drug repurposing strategies.Comparison of ultra-fast 2D and 3D ligand and target descriptors for side effect prediction and network analysis in polypharmacology.How promiscuous are pharmaceutically relevant compounds? A data-driven assessment.Finding the targets of a drug by integration of gene expression data with a protein interaction network.A multivariate approach linking reported side effects of clinical antidepressant and antipsychotic trials to in vitro binding affinitiesFusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation.Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosisPredicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).Exploiting Pharmacological Similarity to Identify Safety Concerns - Listen to What the Data Tells You.Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug TrialsProspective validation of a comprehensive in silico hERG model and its applications to commercial compound and drug databases.Kinase inhibition-related adverse events predicted from in vitro kinome and clinical trial data.A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanizationPhysicochemical drug properties associated with in vivo toxicological outcomes: a review.Recent trends and observations in the design of high-quality screening collections.Predicting adverse drug reactions using publicly available PubChem BioAssay dataCan Functional Magnetic Resonance Imaging Improve Success Rates in CNS Drug Discovery?Computational methods for early predictive safety assessment from biological and chemical data.Drug repositioning using in silico compound profiling.Predicting adverse side effects of drugsThe chemical basis of pharmacology.
P2860
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P2860
Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին 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
Analysis of pharmacology data ...... ffects from chemical structure
@ast
Analysis of pharmacology data ...... ffects from chemical structure
@en
Analysis of pharmacology data ...... ffects from chemical structure
@nl
type
label
Analysis of pharmacology data ...... ffects from chemical structure
@ast
Analysis of pharmacology data ...... ffects from chemical structure
@en
Analysis of pharmacology data ...... ffects from chemical structure
@nl
prefLabel
Analysis of pharmacology data ...... ffects from chemical structure
@ast
Analysis of pharmacology data ...... ffects from chemical structure
@en
Analysis of pharmacology data ...... ffects from chemical structure
@nl
P2093
P50
P3181
P356
P1433
P1476
Analysis of pharmacology data ...... ffects from chemical structure
@en
P2093
Jacques Hamon
John W Davies
Kamal Azzaoui
Laszlo Urban
Meir Glick
Steven Whitebread
P304
P3181
P356
10.1002/CMDC.200700026
P407
P577
2007-06-01T00:00:00Z