131 results on '"Grulke, Chris"'
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2. Predicting molecular initiating events using chemical target annotations and gene expression
3. Open-source QSAR models for pKa prediction using multiple machine learning approaches
4. Linking in silico MS/MS spectra with chemistry data to improve identification of unknowns
5. Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates
6. “MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies
7. OPERA models for predicting physicochemical properties and environmental fate endpoints
8. Categorizing Continuous Data in QSAR
9. Machine Learning Prediction of Molecular Initiating Events using Chemical Target Annotations and Gene Expression
10. Accessing bulk predicted QSAR data via batch search functionality in the CompTox Chemicals Dashboard
11. Combining in silico structure-based methods and enrichment analysis to increase confidence in HTS results: Application to Tox21 TRHR assay
12. Predicting Molecular Initiating Events from High Throughput Transcriptomic Screening using Machine Learning
13. Determining the Predictive Limit of QSAR Models
14. Comparing performance of in silico metabolism tools using data derived from literature and non-targeted analysis
15. Predicting Compound Amenability with Liquid Chromatography Mass Spectrometry to Improve Non-targeted Analysis
16. New CSRML-based features to categorize and fingerprint PFAS structure lists for cheminformatics analysis and read-across
17. Establishing Best Practices for Water Solubility Dataset Curation
18. Representation and Enumeration of UVCB Substances to Enable QSAR Predictions for Substances with Structural Uncertainty
19. In silico and cheminformatics enrichment analysis to increase confidence in in vitro high-throughput screening (HTS) results: Application to Tox21 thyrotropin-releasing hormone receptor (TRHR) assay
20. Predicting Chromatography-tandem Mass Spectrometry Amenability to Improve Non-targeted Analysis
21. Web-based access to data for >600 disinfection by-products via the EPA CompTox Chemicals Dashboard
22. Inverting the SAR paradigm: Applications of a Chemotype-Enrichment Approach within EPA’s Computational Toxicology Programs
23. Developing a list of per- and polyfluoroalkyl (PFAS) chemicals from public domain databases
24. Old title:Combining in silico structure-based methods and enrichment analysis to increase confidence in HTS results: Application to Tox21 TRHR assay
25. PFAS Toxprints: A Hierarchical Structure-Based Categorization Method for Characterization of Per- and Polyfluoroalkyl Substances
26. EPA’s Research Initiatives on Non-Targeted Analyses of Environmental Chemicals
27. Findings from EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)
28. Predicting Chromatography-tandem Mass Spectrometry Amenability to Improve Non-targeted Analysis
29. What chemicals constitute the Exposome? Accessing Data via the US EPA’s CompTox Chemicals Dashboard
30. CoMPARA : Collaborative Modeling Project for Androgen Receptor Activity
31. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity
32. MOESM2 of Open-source QSAR models for pKa prediction using multiple machine learning approaches
33. Structure-based categorization of Per- & Polyfluoroalkyl substances in the DSSTox database and EPA’s ToxCast inventory using Markush representations
34. Integrating Eawag, LCSB, MetFrag and CompTox Efforts in ENTACT
35. Cheminformatics approaches to support chemical identification delivered via the EPA CompTox Chemicals Dashboard
36. Database of Pharmacokinetic Time-Series Data and Parameters for Evaluating the Safety of Environmental Chemicals
37. Evaluation of the Chemotype-Enrichment Workflow: A Tool for Independent Evaluation of Biological Activity Thresholds and a Comparison with QSAR Methods
38. US-EPA CompTox Chemicals Dashboard – An Information Hub for Over Five Thousand Per- & Polyfluoroalkyl Chemical Substances
39. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity
40. Adding Complex Expert Knowledge into Chemical Databases: Transforming Surfactants in Wastewater
41. Progress in Delivering Transparency in Research Data by the National Center for Computational Toxicology at the US EPA
42. Integration of Markush Structures into EPA’s DSSTox Database to Represent and Enumerate UVCB Substances
43. Open Source QSAR Models For pKa Prediction Using Multiple Machine Learning Approaches
44. Need and benefits for structure standardization to facilitate integration and connectivity between government databases
45. Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects
46. The EPA CompTox Chemistry Dashboard and Underpinning Software Architecture – a platform for data integration for environmental chemistry data
47. OPERA: A QSAR tool for physicochemical properties and environmental fate predictions
48. EPA CompTox Chemistry Dashboard – an online resource for environmental chemists
49. Adding Complex Expert Knowledge into Chemical Database and Transforming Surfactants in Wastewater.ppt
50. Adding Complex Expert Knowledge into Chemical Databases: Transforming Surfactants in Wastewater
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