Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
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Open drug discovery for the Zika virusComputational methods for prediction of in vitro effects of new chemical structuresPredicting 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).Thermodynamic Proxies to Compensate for Biases in Drug Discovery Methods.An overview of molecular fingerprint similarity search in virtual screening.Machine learning models identify molecules active against the Ebola virus in vitroMaking Transporter Models for Drug-Drug Interaction Prediction Mobile.Open Source Bayesian Models. 3. Composite Models for Prediction of Binned ResponsesPredictive modeling targets thymidylate synthase ThyX in Mycobacterium tuberculosisThe Next Era: Deep Learning in Pharmaceutical Research.Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB).Lack of Influence of Substrate on Ligand Interaction with the Human Multidrug and Toxin Extruder, MATE1.SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules.Efficacy of Tilorone Dihydrochloride against Ebola Virus Infection.Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.Mobile Apps for Green Chemistry
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P2860
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
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2015 nî lūn-bûn
@nan
2015 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@ast
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@en
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@nl
type
label
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@ast
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@en
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@nl
prefLabel
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@ast
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@en
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@nl
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Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
@en
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Andrew McNutt
George Grass
Joel S Freundlich
Krishna Dole
Robert C Reynolds
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P356
10.1021/ACS.JCIM.5B00143
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P577
2015-06-22T00:00:00Z