Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …

Developing an accurate first-principle model is an important step in employing systems
biology approaches to analyze an intracellular signaling pathway. However, an accurate first …

In this paper, we address the system identification problem in the context of biological
modelling. We present and demonstrate a methodology for (i) assessing the possibility of …

The prediction or early diagnosis of maternal complications is challenging mostly because
the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and …

Mammalian cells adapt their functional state in response to external signals in form of
ligands that bind receptors on the cell-surface. Mechanistically, this involves signal …

Measuring and modeling the integrated behavior of biomolecular–cellular networks is
central to systems biology. Over several decades, systems biology has been shaped by …

Attaining a complete thermodynamic and kinetic characterization for processes involving
multiple interconnected rare-event transitions remains a central challenge in molecular …

Parameter estimation is one of the central challenges in computational biology. In this paper,
we present an approach to estimate model parameters and assess their identifiability in …

Two years ago, in the early stages of the COVID-19 pandemic, there were widespread and
grim predictions of an ensuing suicide epidemic. Not only has this not happened but also by …

Motivation Optimality principles have been used to explain many biological processes and
systems. However, the functions being optimized are in general unknown a priori. Here we …