ReviewComputational and structural biotechnology journal2017
Multi-level and hybrid modelling approaches for systems biology.
Review in Computational and structural biotechnology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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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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Who cites it
25 citing papers in PubMed.
- Proteomic Technology.Advances in experimental medicine and biology · 2026Review
- Multiscale Modeling and Systems Biology in Microgravity Investigations.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control.BMC bioinformatics · 2025Article
- Dynamics of spindle assembly and position checkpoints: Integrating molecular mechanisms with computational models.Computational and structural biotechnology journal · 2025Review
- Approximate Bayesian inference in a model for self-generated gradient collective cell movement.Computational statistics · 2025Article
- Computational methods for biofabrication in tissue engineering and regenerative medicine - a literature review.Computational and structural biotechnology journal · 2024Review
- The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (Sensors (Basel, Switzerland) · 2024Article
- Biology System Description Language (BiSDL): a modeling language for the design of multicellular synthetic biological systems.BMC bioinformatics · 2024Article
- Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024Review
- A multi-level approach reveals key physiological and molecular traits in the response of two rice genotypes subjected to water deficit at the reproductive stage.Plant-environment interactions (Hoboken, N.J.) · 2023Review
- Fast Methods for Posterior Inference of Two-Group Normal-Normal Models.Bayesian analysis · 2023Article
- Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies.iScience · 2022Review
- OBIF: an omics-based interaction framework to reveal molecular drivers of synergy.NAR genomics and bioinformatics · 2022Article
- Hybrid modelling of biological systems: current progress and future prospects.Briefings in bioinformatics · 2022Review
- Computational approaches to understanding Clostridioides difficile metabolism and virulence.Current opinion in microbiology · 2022Review
- Review
- Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia.PLoS computational biology · 2021Article
- Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective.NPJ systems biology and applications · 2021Article
- Using multilevel models to explore the impact of abiotic and biotic conditions on the efficacy of pirimiphos-methyl against Tenebrio molitor L.Environmental science and pollution research international · 2021Article
- Integrated modeling of extended agro-food supply chains: A systems approach.European journal of operational research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last decades, high-throughput techniques allowed for the extraction of a huge amount of data from biological systems, unveiling more of their underling complexity. Biological systems encompass a wide range of space and time scales, functioning according to flexible hierarchies of mechanisms making an intertwined and dynamic interplay of regulations. This becomes particularly evident in processes such as ontogenesis, where regulative assets change according to process context and timing, making structural phenotype and architectural complexities emerge from a single cell, through local interactions. The information collected from biological systems are naturally organized according to the functional levels composing the system itself. In systems biology, biological information often comes from overlapping but different scientific domains, each one having its own way of representing phenomena under study. That is, the different parts of the system to be modelled may be described with different formalisms. For a model to have improved accuracy and capability for making a good knowledge base, it is good to comprise different system levels, suitably handling the relative formalisms. Models which are both multi-level and hybrid satisfy both these requirements, making a very useful tool in computational systems biology. This paper reviews some of the main contributions in this field.
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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.