All Stories

  1. Three strategies for engaging campus leaders in transformative initiatives to retain faculty of color.
  2. A multi-scale approach to designing therapeutics for tuberculosis
  3. A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes
  4. A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment
  5. In silico models of M. tuberculosis infection provide a route to new therapies
  6. Band-pass processing in a GPCR signaling pathway selects for NFAT transcription factor activation
  7. Computational Modeling Predicts IL-10 Control of Lesion Sterilization by Balancing Early Host Immunity-Mediated Antimicrobial Responses with Caseation during Mycobacterium tuberculosis Infection
  8. Macrophage Polarization Drives Granuloma Outcome during Mycobacterium tuberculosis Infection
  9. Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models
  10. Erratum: Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models
  11. Computational Modeling of Granuloma Formation in Tuberculosis Yields Insights into both Infection and Treatment
  12. Multi-Scale Modeling Predicts a Balance of Tumor Necrosis Factor-α and Interleukin-10 Controls the Granuloma Environment during Mycobacterium tuberculosis Infection
  13. A Systems Biology Approach for Understanding Granuloma Formation and Function in Tuberculosis
  14. Mathematical Models of Anti-TNF Therapies and their Correlation with Tuberculosis
  15. Differential Risk of Tuberculosis Reactivation among Anti-TNF Therapies Is Due to Drug Binding Kinetics and Permeability
  16. NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis
  17. Multiscale Computational Modeling Reveals a Critical Role for TNF-  Receptor 1 Dynamics in Tuberculosis Granuloma Formation
  18. Chapter 24. Using Microfluidics, Real-time Imaging and Mathematical Modelling to study GPCR Signalling
  19. A multifaceted approach to modeling the immune response in tuberculosis
  20. Phase-Locked Signals Elucidate Circuit Architecture of an Oscillatory Pathway
  21. Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma
  22. A computational approach to inferring cellular protein-binding affinities from quantitative fluorescence resonance energy transfer imaging
  23. Lipid Raft-Mediated Regulation of G-Protein Coupled Receptor Signaling by Ligands which Influence Receptor Dimerization: A Computational Study
  24. Mathematical and computational approaches can complement experimental studies of host-pathogen interactions
  25. Mathematical and computational approaches can complement experimental studies of host-pathogen interactions
  26. Effect of Multiple Genetic Polymorphisms on Antigen Presentation and Susceptibility to Mycobacterium tuberculosis Infection
  27. Engineering RGD nanopatterned hydrogels to control preosteoblast behavior: A combined computational and experimental approach
  28. Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
  29. Adhesion ligand nanopatterning influences differentiation of preosteoblast cells: a combined experimental and computational approach
  30. Multiple mechanisms allowMycobacterium tuberculosisto continuously inhibit MHC class II-mediated antigen presentation by macrophages
  31. An Adaptive, Cartesian, Front-Tracking Method for the Motion, Deformation and Adhesion of Circulating Cells