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6. PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions

7. The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic

9. The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic

10. The conformational signature of β-arrestin2 predicts its trafficking and signalling functions

14. Supplementary Methods and Materials from Genetic Variants of VEGFA and FLT4 Are Determinants of Survival in Renal Cell Carcinoma Patients Treated with Sorafenib

15. Table S1 from Genetic Variants of VEGFA and FLT4 Are Determinants of Survival in Renal Cell Carcinoma Patients Treated with Sorafenib

17. Figure S1 from Genetic Variants of VEGFA and FLT4 Are Determinants of Survival in Renal Cell Carcinoma Patients Treated with Sorafenib

20. Crosstalk between pro-survival sphingolipid metabolism and complement signaling induces inflammasome-mediated tumor metastasis

24. The conformational signature of [beta]-arrestin2 predicts its trafficking and signalling functions

25. Application of Pharmacokinetic Prediction Platforms in the Design of Optimized Anti-Cancer Drugs

26. Small molecules targeting the NADH-binding pocket of VDAC modulate mitochondrial metabolism in hepatocarcinoma cells

36. Newly Identified Chemicals Preserve Mitochondrial Capacity and Decelerate Loss of Photoreceptor Cells in Murine Retinal Degeneration Models

41. Time-dependent inhibition of isoprenylcysteine carboxyl methytransferase by indole-based small molecules

42. Biasing the Parathyroid Hormone Receptor

43. Hydrophilic anilinogeranyl diphosphate prenyl analogues are RAS function inhibitors

44. Deep Learning Predicts Protein-Ligand Interactions

45. Inap

46. Interferon-Inducible RNA-Dependent Protein Kinase

47. Integrin α1 (ITGA1)

48. Interferon-Inducible eIF2α Kinase

49. Icmt (Isoprenylcysteine Carboxyl Methyltransferase)

50. IL-1 Inducible Nuclear Ankyrin-Repeat Protein (INAP)

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