ArticleMolecular systems biology2020
Personalized signaling models for personalized treatments.
Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed.
- From prior knowledge to data-informed models: a review of Boolean network inference.Briefings in bioinformatics · 2026Review
- Active learning-guided mechanistic modeling reveals context-specific regulators of CXCL9 expression in pancreatic cancer cells.Molecular systems biology · 2026Article
- Dose as a fundamental organizing principle in physiology: Implications for mechanism, disease, and precision medicine.Journal of precision medicine (Amsterdam, Netherlands) · 2026Article
- Integrating dynamic modeling of signaling pathways with subject-specific transcriptomic data to assess breast cancer risk.PloS one · 2026Article
- Talk2Biomodels: AI agent-based open-source LLM initiative for kinetic biological models.BMC bioinformatics · 2025Article
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
- Perspectives on computational modeling of biological systems and the significance of the SysMod community.Bioinformatics advances · 2024Article
- Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models.International journal of molecular sciences · 2023Article
- Distribution modeling quantifies collective TScience advances · 2023Article
- Application of perturbation gene expression profiles in drug discovery-From mechanism of action to quantitative modelling.Frontiers in systems biology · 2023Review
- Integrating knowledge and omics to decipher mechanisms via large-scale models of signaling networks.Molecular systems biology · 2022Review
- A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling.Nature communications · 2022Article
- A text-based computational framework for patient -specific modeling for classification of cancers.iScience · 2022Article
- Article
- Boolean modelling as a logic-based dynamic approach in systems medicine.Computational and structural biotechnology journal · 2022Review
- Can Systems Biology Advance Clinical Precision Oncology?Cancers · 2021Review
- Combination treatment optimization using a pan-cancer pathway model.PLoS computational biology · 2021Article
- Patient-Specific Modeling of Diffuse Large B-Cell Lymphoma.Biomedicines · 2021Article
- Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistance.PLoS computational biology · 2021Article
- Cell Line-Specific Network Models of ERCancer research · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic mechanistic models, that is, those that can simulate behavior over time courses, are a cornerstone of molecular systems biology. They are being used to model molecular mechanisms with varying degrees of granularity-from elementary reactions to causal links-and to describe these systems by various dynamic mathematical frameworks, such as Boolean networks or systems of differential equations. The models can be based exclusively on experimental data, or on prior knowledge of the underlying biological processes. The latter are typically generic, but can be adapted to a certain context, such as a particular cell type, after training with context-specific data. Dynamic mechanistic models that are based on biological knowledge have great potential for modeling specific systems, because they require less data for training to provide biological insight in particular into causal mechanisms, and to extrapolate to scenarios that are outside the conditions they have been trained on.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.