ReviewProgress in biophysics and molecular biology
Multi-scale computational modelling in biology and physiology.
Review in Progress in biophysics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed.
- AI for bioactive materials: From material design to biological applications.Bioactive materials · 2026Review
- Exploring Chronic Rejection in Organ Transplantation Through Computational Modeling.Results and problems in cell differentiation · 2026Review
- Data-driven identification of biological systems using multi-scale analysis.PLoS computational biology · 2025Article
- Harnessing nutrients and natural products for sustainable drug development against aging.Frontiers in pharmacology · 2025Review
- Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025Review
- A rule-based multiscale model of hepatic stellate cell plasticity: Critical role of the inactivation loop in fibrosis progression.PLoS computational biology · 2024Article
- Developing a computational representation of human physical activity and exercise using open ontology-based approach: a Tai Chi use case.Proceedings. IEEE International Conference on Healthcare Informatics · 2024Article
- A multiscale computational framework for the development of spines in molluscan shells.PLoS computational biology · 2024Article
- Engineering innovations in medicine and biology: Revolutionizing patient care through mechanical solutions.Heliyon · 2024Review
- Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics.PloS one · 2024Article
- Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies.iScience · 2022Review
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches.Biomedicines · 2022Review
- Genetics and neurobiology of eating disorders.Nature neuroscience · 2022Review
- Ten steps to investigate a cellular system with mathematical modeling.PLoS computational biology · 2021Article
- Multiscale modeling meets machine learning: What can we learn?Archives of computational methods in engineering : state of the art reviews · 2021Article
- High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology.Chemical reviews · 2021Review
- The Energy Homeostasis Principle: A Naturalistic Approach to Explain the Emergence of Behavior.Frontiers in systems neuroscience · 2021Article
- Spiral Wave Propagation in Communities with Spatially Correlated Heterogeneity.Biophysical journal · 2020Article
- Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.NPJ digital medicine · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in biotechnology and the availability of ever more powerful computers have led to the formulation of increasingly complex models at all levels of biology. One of the main aims of systems biology is to couple these together to produce integrated models across multiple spatial scales and physical processes. In this review, we formulate a definition of multi-scale in terms of levels of biological organisation and describe the types of model that are found at each level. Key issues that arise in trying to formulate and solve multi-scale and multi-physics models are considered and examples of how these issues have been addressed are given for two of the more mature fields in computational biology: the molecular dynamics of ion channels and cardiac modelling. As even more complex models are developed over the coming few years, it will be necessary to develop new methods to model them (in particular in coupling across the interface between stochastic and deterministic processes) and new techniques will be required to compute their solutions efficiently on massively parallel computers. We outline how we envisage these developments occurring.
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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.