Mathematical models can provide quantitative insights into immunoreceptor signaling, and
other biological processes, but require parameterization and uncertainty quantification …

In systems biology modeling, important steps include model parameterization, uncertainty
quantification, and evaluation of agreement with experimental observations. To help …

Germinal centers (GCs) are specialized compartments within the secondary lymphoid
organs, where B cells proliferate, differentiate, and mutate their antibody genes. Upon exit …

A workflow has been developed allowing for the computer aided design and optimization of
reactive systems using the concept of molecular descriptor-based similarity. Unlike single …

Spatial heterogeneity can have dramatic effects on the biochemical networks that drive cell
regulation and decision-making. For this reason, a number of methods have been …

Receptor tyrosine kinases (RTKs) typically contain multiple autophosphorylation sites in
their cytoplasmic domains. Once activated, these autophosphorylation sites can recruit …

All living things have evolved to sense changes in their environment in order to respond in
adaptive ways. At the cellular level, these sensing systems generally involve receptor …

Various kinetic Monte Carlo algorithms become inefficient when some of the population
sizes in a system are large, which gives rise to a large number of reaction events per unit …

Although Gillespie's algorithm is justified under a set of axioms based on the assumption of
homogeneity of the system, many chemical systems deviate from this assumption, as is the …

A workflow has been developed allowing for the computer aided design and optimization of
reactive systems using the concept of molecular descriptor-based similarity. Unlike single …