Boolean network modeling in systems pharmacology

AbstractQuantitative systems pharmacology (QSP) is an emerging discipline that aims to discover how drugs modulate the dynamics of biological components in molecular and cellular networks and the impact of those perturbations on human pathophysiology. The integration of systems-based experimental and computational approaches is required to facilitate the advancement of this field. QSP models typically consist of a series of ordinary differential equations (ODE). However, this mathematical framework requires extensive knowledge of parameters pertaining to biological processes, which is often unavailable. An alternative framework that does not require knowledge of system-specific parameters, such as Boolean network modeling, could serve as an initial foundation prior to the development of an ODE-based model. Boolean network models have been shown to efficiently describe, in a qualitative manner, the complex behavior of signal transduction and gene/protein regulatory processes. In addition to providing a starting point prior to quantitative modeling, Boolean network models can also be utilized to discover novel therapeutic targets and combinatorial treatment strategies. Identifying drug targets using a network-based approach could supplement current drug discovery methodologies and help to fill the innovation gap across the pharmaceutical industry. In this review, we discuss the process of developing Boolean network models and the various analyses that can be performed to identi...
Source: Journal of Pharmacokinetics and Pharmacodynamics - Category: Drugs & Pharmacology Source Type: research

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Source: Expert Opinion on Biological Therapy - Category: Drugs & Pharmacology Authors: Source Type: research
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Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
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Source: Clinical Lymphoma Myeloma and Leukemia - Category: Cancer & Oncology Source Type: research
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Source: Expert Opinion on Pharmacotherapy - Category: Drugs & Pharmacology Tags: Expert Opin Pharmacother Source Type: research
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Source: Cancers - Category: Cancer & Oncology Authors: Tags: Review Source Type: research
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Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
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Source: CancerNetwork - Category: Cancer & Oncology Authors: Source Type: news
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Source: Annals of Hematology - Category: Hematology Source Type: research
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Source: Cancer Gene Therapy - Category: Cancer & Oncology Authors: Source Type: research
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Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
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