32 results on '"Perryman, Alexander L."'
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2. The A–Z of Zika drug discovery
3. Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae
4. Identification and Biosynthesis of an N-Glucuronide Metabolite of Camonsertib
5. Discovery of New Zika Protease and Polymerase Inhibitors through the Open Science Collaboration Project OpenZika
6. Naïve Bayesian Models for Vero Cell Cytotoxicity
7. Predicting Mouse Liver Microsomal Stability with “Pruned” Machine Learning Models and Public Data
8. Identification of RP-6685, an Orally Bioavailable Compound that Inhibits the DNA Polymerase Activity of Polθ
9. Discovery of an Orally Bioavailable and Selective PKMYT1 Inhibitor, RP-6306
10. Rickettsia Aglow: A Fluorescence Assay and Machine Learning Model to Identify Inhibitors of Intracellular Infection
11. Bayesian Modeling and Intrabacterial Drug Metabolism Applied to Drug-Resistant Staphylococcus aureus
12. Correction to “Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery”
13. Pruned Machine Learning Models to Predict Aqueous Solubility
14. Intrabacterial Metabolism Obscures the Successful Prediction of an InhA Inhibitor of Mycobacterium tuberculosis
15. Synergistic Lethality of a Binary Inhibitor of Mycobacterium tuberculosis KasA
16. Comparing and Validating Machine Learning Models forMycobacterium tuberculosisDrug Discovery
17. Novel Pyrimidines as Antitubercular Agents
18. Accessible Machine Learning Approaches for Toxicology
19. OpenZika : An IBM World Community Grid Project to Accelerate Zika Virus Drug Discovery
20. Molecular dynamics simulations of Zika virus NS3 helicase: Insights into RNA binding site activity
21. Addressing the Metabolic Stability of Antituberculars through Machine Learning
22. A Novel Small-Molecule Inhibitor of the Mycobacterium tuberculosis Demethylmenaquinone Methyltransferase MenG Is Bactericidal to Both Growing and Nutritionally Deprived Persister Cells
23. Intrabacterial Metabolism Obscures the Successful Prediction of an InhA Inhibitor of Mycobacterium tuberculosis.
24. Non-classical transpeptidases yield insight into new antibacterials
25. OpenZika: An IBM World Community Grid Project to Accelerate Zika Virus Drug Discovery
26. Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014–2015)
27. Predicting Mouse Liver Microsomal Stability with “Pruned” Machine Learning Models and Public Data
28. A Virtual Screen Discovers Novel, Fragment-Sized Inhibitors ofMycobacterium tuberculosisInhA
29. Comparing and Validating Machine Learning Models for Mycobacterium tuberculosisDrug Discovery
30. Non-classical transpeptidases yield insight into new antibacterials
31. A Virtual Screen Discovers Novel, Fragment-Sized Inhibitors of Mycobacterium tuberculosis InhA.
32. A Novel Small-Molecule Inhibitor of the Mycobacterium tuberculosisDemethylmenaquinone Methyltransferase MenG Is Bactericidal to Both Growing and Nutritionally Deprived Persister Cells
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