163 results on '"Stoven, Véronique"'
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2. Representation and quantification of module activity from omics data with rROMA
3. Drug–Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset.
4. A new protein binding pocket similarity measure based on comparison of 3D atom clouds: application to ligand prediction
5. From CFTR to a CF signalling network: a systems biology approach to study Cystic Fibrosis
6. Virtual screening of GPCRs: an in silico chemogenomics approach
7. The pharmacophore kernel for virtual screening with support vector machines
8. Design, synthesis, biological evaluation and cellular imaging of imidazo[4,5-b]pyridine derivatives as potent and selective TAM inhibitors
9. A Network of 17 Microtubule-Related Genes Highlights Functional Deregulations in Breast Cancer
10. Exploring isofunctional molecules: Design of a benchmark and evaluation of prediction performance
11. Representation and quantification Of Module Activity from omics data with rROMA
12. Profiling the response to lumacaftor‐ivacaftor in children with cystic between fibrosis and new insight from a French‐Italian real‐life cohort
13. Differential CFTR-Interactome Proximity Labeling Procedures Identify Enrichment in Multiple SLC Transporters
14. New aminopyrimidine derivatives as inhibitors of the TAM family
15. In Silico Screening on the Three-dimensional Model of the Plasmodium vivax SUB1 Protease Leads to the Validation of a Novel Anti-parasite Compound
16. Inhibitors of the TAM subfamily of tyrosine kinases: Synthesis and biological evaluation
17. Insights Into the Enzymatic Mechanism of 6-Phosphogluconolactonase from Trypanosoma brucei Using Structural Data and Molecular Dynamics Simulation
18. Drug Target Identification with Machine Learning: How to Choose Negative Examples
19. Three Dimensional Structure and Implications for the Catalytic Mechanism of 6-Phosphogluconolactonase from Trypanosoma brucei
20. Target identification of drug candidates with machine-learning algorithms: how choosing negative examples for training
21. Relating drug–protein interaction network with drug side effects
22. Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers
23. Urinary Exosomes of Patients with Cystic Fibrosis Unravel CFTR-Related Renal Disease
24. Letter to the Editor: Backbone HN, N, Cα, C′, and Cβ assignment of the 6-phosphogluconolactonase, a 266-residue enzyme of the pentose-phosphate pathway from human parasite Trypanosoma brucei
25. LOTUS: a single-and multi-task machine-learning algorithm for the prediction of cancer driver genes
26. LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes
27. Evaluation of network architecture and data augmentation methods for deep learning in chemogenomics
28. Predicting drug side-effect profiles: a chemical fragment-based approach
29. A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
30. Glutathione Levels and BAX Activation during Apoptosis Due to Oxidative Stress in Cells Expressing Wild-type and Mutant Cystic Fibrosis Transmembrane Conductance Regulator
31. Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
32. Virtual screening of GPCRs: An in silico chemogenomics approach
33. NMR Spectroscopic Analysis of the First Two Steps of the Pentose-Phosphate Pathway Elucidates the Role of 6-Phosphogluconolactonase
34. Efficient multi-task chemogenomics for drug specificity prediction
35. LOTUS: a Single- and Multitask Machine Learning Algorithm for the Prediction of Cancer Driver Genes
36. Efficient multi-task chemogenomics for drug specificity prediction
37. MULTITASK FEATURE SELECTION WITH TASK DESCRIPTORS
38. Epigenomic Alterations in Breast Carcinoma from Primary Tumor to Locoregional Recurrences
39. Backbone H(N), N, C(alpha), C', and C(beta) assignment of the 6-phosphogluconolactonase, a 266-residue enzyme of the pentose-phosphate pathway from human parasite Trypanosoma brucei
40. Relating drug-protein interaction network with drug side effects.
41. A Probabilistic Model for Cell Population Phenotyping Using HCS Data
42. Predicting drug side-effect profiles: a chemical fragment-based approach
43. Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions
44. A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
45. Virtual screening of GPCRs: An in silico chemogenomics approach
46. The Pharmacophore Kernel for Virtual Screening with Support Vector Machines
47. Determination of dihedral Ψ angles in large proteins by combining NHN/CαHα dipole/dipole cross‐correlation and chemical shifts
48. Biochemical characterization and NMR studies of the nucleotide-binding domain 1 of multidrug-resistance-associated protein 1: evidence for interaction between ATP and Trp653
49. Nucleotide-binding domain 1 of cystic fibrosis transmembrane conductance regulator
50. Lithostathine, the Presumed Pancreatic Stone Inhibitor, Does Not Interact Specifically with Calcium Carbonate Crystals
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