[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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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
Mathematical modeling of biological processes provides deep insights into complex cellular
systems. While quantitative and continuous models such as differential equations have been …
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
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 …
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
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 …
phenotypes and behaviors arise from the totality of interactions among the components of …