There is increasing evidence that biological systems are modular in both structure and
function. Complex biological signaling networks such as gene regulatory networks (GRNs) …

Background Mechanistic models, when combined with pertinent data, can improve our
knowledge regarding important molecular and cellular mechanisms found in cancer. These …

Pancreatic ductal adenocarcinoma is among the leading causes of cancer-related deaths
globally due to its extreme difficulty to detect and treat. Recently, research focus has shifted …

Abstract Pancreatic Ductal Adenocarcinoma (PDAC) is widely known for its poor prognosis
because it is often diagnosed when the cancer is in a later stage. We built a Boolean model …

At the crossroad between biology and mathematical modeling, computational systems
biology can contribute to a mechanistic understanding of high-level biological phenomenon …

The automated assembly and extension of dynamic network models using information
extracted from literature are challenging due to the amount and inconsistency in published …

Motivation Creating or extending computational models of complex systems, such as intra-
and intercellular biological networks, is a time and labor-intensive task, often limited by the …

Biomedical research results are being published at a high rate, and with existing search
engines, the vast amount of published work is usually easily accessible. However …

Published research articles are rich sources of data when the knowledge is incorporated
into models. Complex biological systems benefit from computational modeling's ability to …

New discoveries and knowledge are summarized in thousands of published papers per year
per scientific domain, making it incomprehensible for scientists to account for all available …