Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities
about
Identification of novel thyroid cancer-related genes and chemicals using shortest path algorithmThe Use of Chemical-Chemical Interaction and Chemical Structure to Identify New Candidate Chemicals Related to Lung CancerPredicting metabolic pathways of small molecules and enzymes based on interaction information of chemicals and proteinsPredicting chemical toxicity effects based on chemical-chemical interactionsIdentifying chemicals with potential therapy of HIV based on protein-protein and protein-chemical interaction networkPrediction of cancer drugs by chemical-chemical interactionsFinding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactionsGene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification SystemIdentification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and ProteinsThe Use of Gene Ontology Term and KEGG Pathway Enrichment for Analysis of Drug Half-LifeiSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins[Clotrimazole and ciclopirox olamine respectively in combination with methylprednisolone aceponate as extemporaneous formulations].Drug repositioning: a machine-learning approach through data integration.Similarity-based prediction for Anatomical Therapeutic Chemical classification of drugs by integrating multiple data sources.Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.Predicting anatomic therapeutic chemical classification codes using tiered learningSuperPred: update on drug classification and target predictionA graphic method for identification of novel glioma related genes.A framework for assessing the consistency of drug classes across sources.Gene ontology and KEGG enrichment analyses of genes related to age-related macular degeneration.Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway.Exploring pharmacoepidemiologic groupings of drugs from a clinical perspective.Prediction of multi-type membrane proteins in human by an integrated approach.Prediction of drug indications based on chemical interactions and chemical similarities.A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.Discovery of new candidate genes related to brain development using protein interaction information.Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index.Identification of compound-protein interactions through the analysis of gene ontology, KEGG enrichment for proteins and molecular fragments of compounds.Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach.Exploring Mouse Protein Function via Multiple Approaches.An integrated method for the identification of novel genes related to oral cancerPredicting drugs side effects based on chemical-chemical interactions and protein-chemical interactions.Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways.Prediction of gene phenotypes based on GO and KEGG pathway enrichment scores.Identification of age-related macular degeneration related genes by applying shortest path algorithm in protein-protein interaction network.iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid componentsIdentification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach.Some remarks on predicting multi-label attributes in molecular biosystems.Identification of Chemical Toxicity Using Ontology Information of Chemicals.
P2860
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P2860
Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
name
Predicting Anatomical Therapeu ...... interactions and similarities
@ast
Predicting Anatomical Therapeu ...... interactions and similarities
@en
Predicting Anatomical Therapeu ...... interactions and similarities
@nl
type
label
Predicting Anatomical Therapeu ...... interactions and similarities
@ast
Predicting Anatomical Therapeu ...... interactions and similarities
@en
Predicting Anatomical Therapeu ...... interactions and similarities
@nl
prefLabel
Predicting Anatomical Therapeu ...... interactions and similarities
@ast
Predicting Anatomical Therapeu ...... interactions and similarities
@en
Predicting Anatomical Therapeu ...... interactions and similarities
@nl
P2860
P50
P3181
P1433
P1476
Predicting Anatomical Therapeu ...... interactions and similarities
@en
P2093
Kai-Yan Feng
Wei-Ming Zeng
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0035254
P407
P577
2012-01-01T00:00:00Z