Drug Data
Linked open drug data for pharmaceutical research and development
... available data sources to help elucidate the complex biological mechan- isms that lead to the development of ...these data and their wide- spread distribution over journal articles, patents and numerous ...
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Consolidating drug data on a global scale using Linked Data
... source data into RDF, creating links and 5-star Linked Data datasets, and creating metadata descriptions of the dataset and its links to other ...control, data evolution and version- ...source ...
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DRUG DATA EXCLUSIVITY IN TURKEY FROM THE PERSPECTIVE OF PHARMACEUTICAL COMPANIES
... This study shows that the original manufacturers think the data exclusivity is a beneficial change (100%) and will increase the exportation (70,6%); local companies will increase their [r] ...
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Linking Open Drug Data
... Data objects are identified with HTTP URIs rdf:type pd:cygri f f foaf:Person rdf:type Richard Cyganiak foaf:name foaf:based near dbpedia:Berlin foaf:based_near.. pd:cygri = http://richar[r] ...
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Systems Pharmacogenomic Landscape of Drug Similarities from LINCS data: Drug Association Networks.
... of drug-treated expression data to a matrix of categorical data-type whereas rows repre- sent genes and drugs correspond to ...of drug-treated data ...one drug-treated ...each ...
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Standardizing adverse drug event reporting data
... aggregating drug information in AERS in consider- ation of three ...for drug data integration ...standardized drug nomenclatures to share and exchange data efficiently, which we believe ...
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A Simulations and Data Fit Mathematical Modeling of G CSF Drug Treatment
... The purpose of this paper is to study the G-CSF (Granulocyte-Colony Stimulating Factor) treatment of a simulations and data fit mathematical modeling of CN (Cyclical Neutropenia) with neutrophil count. This model ...
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Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations
... ChEMBL data through a model that generates all possible drug-target combinations with an associated scoring (3D ...each drug the similarity against the set of drugs known to bind each ...same ...
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Mono and combination drug therapies in hospitalized patients with bipolar depression Data from the European drug surveillance program AMSP
... In 2002, international [15] and US guidelines [14] pro- posed the combination of a non-tricyclic antidepressant (SSRI or bupropion) with mood stabilizer (lithium or lamotrigine) as a treatment option. In accordance with ...
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Disease Predictive, Best Drug : Big Data Implementation of Drug Query with Disease Prediction, Side Effects & Feedback Analysis
... In this paper, we described a brand new graph similarity measure, community primarily based graph similarity, and proposed an statistics propagation version to transform a big network into a hard and fast of ...
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Evaluation of risk factors associated with drug resistant tuberculosis in Yemen: data from centres with high drug resistance
... Factors such as limited availability of free and second-line drugs in developing countries such as Yemen, a prolonged duration of treatment, high prices, treatment-associated toxicity, the lack of spe- cialists and ...
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The evolving world of drug discovery data integration in the pharmaceutical industry
... drug disposition parameters, or integrating in-life study parameters with bioanalytical profiles of new drug ...a data storage and access para- digm centred on protein targets to the development of ...
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Artificial intelligence and big data facilitated targeted drug discovery
... the drug target of the animal model is structur- ally different from the one of human, drugs targeting the animal protein will perform a significantly different effect between animal experiment and clinical ...
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THE DATA FOR ADULT DRUG TREATMENT LINCOLNSHIRE LINCOLNSHIRE E08B 32
... in drug treatment in your ...national data for comparison. It presents data from the National Drug Treatment Monitoring System (NDTMS), the Treatment Outcomes Profile (TOP), the Drug ...
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Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources
... be true and can be considered as drug repositioning candidates in the real-world drug discovery. Of 4066 found drug-disease associations in ClinicalTrials.gov (not included in the training set), ...
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Integrating heterogeneous drug sensitivity data from cancer pharmacogenomic studies
... combined data for all compounds for the purpose of identifying the sensitivity metric that provides the best agreement between databases and, therefore, is the most reproducible quantitative assessment of the ...
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Data-driven prediction of adverse drug reactions induced by drug-drug interactions
... a drug pair may mean that no DDI exists for the ADR (a true negative); the ADR requires some time to develop or be recognized under co- administration conditions (a false negative); or the two drugs have yet to be ...
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Quantitative modeling and analysis of drug screening data for personalized cancer medicine
... high-throughput data demands new models to better understand and interpret high-dimensional data and to extract the key information of most clinical and biological ...quantify drug response, (ii) ...
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Strategies for obtaining unpublished drug trial data: a qualitative interview study
... of drug trials is so common that our perceptions of the true bene- fits and harms of drugs are generally much too positive ...unpublished data revealed important insights about the benefits and harms of ...
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ASEAN GUIDELINE ON SUBMISSION OF MANUFACTURING PROCESS VALIDATION DATA FOR DRUG REGISTRATION
... Critical process parameter (CPP) affects CQA and these parameters or variables should be studied based on risk assessment and statistically designed experiment. Types of risk assessment tool are described in ICH Q9. ...
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