[HTML][HTML] Applications of Boolean modeling to study the dynamics of a complex disease and therapeutics responses

AA Hemedan, R Schneider… - Frontiers in bioinformatics, 2023 - frontiersin.org
Computational modeling has emerged as a critical tool in investigating the complex
molecular processes involved in biological systems and diseases. In this study, we apply …

Boolean network modeling in systems pharmacology

P Bloomingdale, VA Nguyen, J Niu… - … of pharmacokinetics and …, 2018 - Springer
Quantitative systems pharmacology (QSP) is an emerging discipline that aims to discover
how drugs modulate the dynamics of biological components in molecular and cellular …

Advanced Boolean modeling of biological networks applied to systems pharmacology

I Irurzun-Arana, JM Pastor, IF Trocóniz… - …, 2017 - academic.oup.com
Motivation Literature on complex diseases is abundant but not always quantitative. Many
molecular pathways are qualitatively well described but this information cannot be used in …

Disentangling the molecular pathways of Parkinson's disease using multiscale network modeling

Q Wang, B Zhang, Z Yue - Trends in neurosciences, 2021 - cell.com
Parkinson's disease (PD) is a complex neurodegenerative disorder. The identification of
genetic variants has shed light on the molecular pathways for inherited PD, while the …

[HTML][HTML] Computational systems biology approaches for Parkinson's disease

E Glaab - Cell and tissue research, 2018 - Springer
Parkinson's disease (PD) is a prime example of a complex and heterogeneous disorder,
characterized by multifaceted and varied motor-and non-motor symptoms and different …

[HTML][HTML] Integrating pathways of Parkinson's disease in a molecular interaction map

KA Fujita, M Ostaszewski, Y Matsuoka, S Ghosh… - Molecular …, 2014 - Springer
Parkinson's disease (PD) is a major neurodegenerative chronic disease, most likely caused
by a complex interplay of genetic and environmental factors. Information on various aspects …

Computational modeling of drug response with applications to neuroscience

R Herwig - Dialogues in clinical neuroscience, 2014 - Taylor & Francis
The development of novel high-throughput technologies has opened up the opportunity to
deeply characterize patient tissues at various molecular levels and has given rise to a …

Boolean modeling in systems biology: an overview of methodology and applications

RS Wang, A Saadatpour, R Albert - Physical biology, 2012 - iopscience.iop.org
Mathematical modeling of biological processes provides deep insights into complex cellular
systems. While quantitative and continuous models such as differential equations have been …

A transcriptome based approach to predict candidate drug targets and drugs for Parkinson's disease using an in vitro 6-OHDA model

EN Yiğit, E Sönmez, İ Yüksel, IA Kurnaz, T Çakır - Molecular omics, 2023 - pubs.rsc.org
The most common treatment strategies for Parkinson's disease (PD) aim to slow down the
neurodegeneration process or control the symptoms. In this study, using an in vitro PD …

Boolean modeling: a logic‐based dynamic approach for understanding signaling and regulatory networks and for making useful predictions

R Albert, J Thakar - Wiley Interdisciplinary Reviews: Systems …, 2014 - Wiley Online Library
The biomolecules inside or near cells form a complex interacting system. Cellular
phenotypes and behaviors arise from the totality of interactions among the components of …