Jennifer J Linderman

发表

Strategies for Efficient Numerical Implementation of Hybrid Multi-scale Agent-Based Models to Describe Biological Systems

Nicholas A Cilfone, Denise E Kirschner, Jennifer J Linderman, 2015, Cellular and molecular bioengineering.

Micro- and nanotechnologies for studying cellular function.

Shuichi Takayama, Alan H Tkaczyk, Jennifer J Linderman, 2003, Current topics in medicinal chemistry.

Predicting lymph node output efficiency using systems biology.

Chang Gong, Jennifer J Linderman, Mark J. Miller, 2013, Journal of theoretical biology.

An algebra of dimerization and its implications for G-protein coupled receptor signaling.

Peter J Woolf, Jennifer J Linderman, J. Linderman, 2004, Journal of theoretical biology.

Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology

Timothy Wessler, Simeone Marino, Louis R. Joslyn, 2018, Immunological reviews.

Differential Risk of Tuberculosis Reactivation among Anti-TNF Therapies Is Due to Drug Binding Kinetics and Permeability

Mohammad Fallahi-Sichani, Denise E Kirschner, Jennifer J Linderman, 2012, The Journal of Immunology.

A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Denise Kirschner, Simeone Marino, Elsje Pienaar, 2017, Current opinion in systems biology.

A multi-scale approach to designing therapeutics for tuberculosis.

Chang Gong, Elsje Pienaar, Nicholas A Cilfone, 2015, Integrative biology : quantitative biosciences from nano to macro.

Self organization of membrane proteins via dimerization.

Peter J Woolf, Jennifer J Linderman, J. Linderman, 2003, Biophysical chemistry.

Collision coupling, crosstalk, and compartmentalization in G-protein coupled receptor systems: can a single model explain disparate results?

Jennifer J Linderman, Christopher J Brinkerhoff, J. Linderman, 2008, Journal of theoretical biology.

A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Denise Kirschner, Chang Gong, Jennifer J Linderman, 2015, Mathematical biosciences and engineering : MBE.

Electrodeless direct current dielectrophoresis using reconfigurable field‐shaping oil barriers

Mark A Burns, Jennifer J Linderman, Prasanna K Thwar, 2007, Electrophoresis.

Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models

Simeone Marino, Mohammad Fallahi-Sichani, Denise E Kirschner, 2014, Wiley interdisciplinary reviews. Systems biology and medicine.

A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment.

Elsje Pienaar, Nicholas A Cilfone, Denise E Kirschner, 2015, Journal of theoretical biology.

Multiple mechanisms allow Mycobacterium tuberculosis to continuously inhibit MHC class II-mediated antigen presentation by macrophages.

Denise E Kirschner, Jennifer J Linderman, Stewart T. Chang, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Integrin dimerization and ligand organization: key components in integrin clustering for cell adhesion.

Jennifer J Linderman, Christopher J Brinkerhoff, J. Linderman, 2005, Tissue engineering.

Modeling of G-protein-coupled Receptor Signaling Pathways*

Jennifer J Linderman, J. Linderman, 2009, Journal of Biological Chemistry.

A Spatial Focusing Model for G Protein Signals

Peter J Woolf, Jennifer J Linderman, Richard R Neubig, 2003, The Journal of Biological Chemistry.

Model‐based analysis and design of a microchannel reactor for tissue engineering

Jennifer J Linderman, Khamir Mehta, J. Linderman, 2006, Biotechnology and bioengineering.

A computational approach to inferring cellular protein‐binding affinities from quantitative fluorescence resonance energy transfer imaging

Peter J Woolf, Adam D Hoppe, Jennifer J Linderman, 2009, Proteomics.

Engineering RGD nanopatterned hydrogels to control preosteoblast behavior: a combined computational and experimental approach.

David J Mooney, Jennifer J Linderman, J. Linderman, 2007, Biomaterials.

Mathematical and computational approaches can complement experimental studies of host-pathogen interactions.

Denise E Kirschner, Jennifer J Linderman, D. Kirschner, 2009, Cellular microbiology.

Hard top soft bottom microfluidic devices for cell culture and chemical analysis.

Jay Lee, Shuichi Takayama, Yi-Chung Tung, 2009, Analytical chemistry.

In silico models of M. tuberculosis infection provide a route to new therapies.

Denise E Kirschner, Jennifer J Linderman, D. Kirschner, 2015, Drug discovery today. Disease models.