Development of a Predictive Multiple Reaction Monitoring (MRM) Model for High-Throughput ADME Analyses Using Learning-to-Rank (LTR) Techniques
Author:
Affiliation:
1. Lead Molecular Design S.L., 08172 Sant Cugat de Valles, Spain
2. Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
3. Lead Discovery and Optimization, Bristol-Myers Squibb, Princeton, New Jersey 08648, United States
Publisher
American Chemical Society (ACS)
Subject
Spectroscopy,Structural Biology
Link
https://pubs.acs.org/doi/pdf/10.1021/jasms.3c00363
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1. High Throughput ADME Screening: Practical Considerations, Impact on the Portfolio and Enabler of In Silico ADME Models
2. Recent development in high-throughput bioanalytical support forin vitroADMET profiling
3. Current status and future directions of high-throughput ADME screening in drug discovery
4. Increasing high-throughput Discovery bioanalysis using automated selected reaction monitoring compound optimization, ultra-high-pressure liquid chromatography, and single-step sample preparation workflows
5. A high-throughput bioanalytical platform using automated infusion for tandem mass spectrometric method optimization and its application in a metabolic stability screen
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