ReviewMolecular genetics and genomics : MGG2014
Bridging the gaps in systems biology.
Review in Molecular genetics and genomics : MGG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Shu: visualization of high-dimensional biological pathways.Bioinformatics (Oxford, England) · 2024Article
- EnzymeML: seamless data flow and modeling of enzymatic data.Nature methods · 2023Article
- Impact of Influenza A Virus Infection on Growth and Metabolism of Suspension MDCK Cells Using a Dynamic Model.Metabolites · 2022Article
- Relating simulation studies by provenance-Developing a family of Wnt signaling models.PLoS computational biology · 2021Article
- SBML Level 3: an extensible format for the exchange and reuse of biological models.Molecular systems biology · 2020Review
- Model-Based Analysis Reveals a Sustained and Dose-Dependent Acceleration of Wound Healing by VEGF-A mRNA (AZD8601).CPT: pharmacometrics & systems pharmacology · 2020Article
- Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.Frontiers in bioengineering and biotechnology · 2020Article
- Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.Frontiers in bioengineering and biotechnology · 2018Article
- A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models.Journal of the Royal Society, Interface · 2017Article
- Modelling the molecular mechanisms of aging.Bioscience reports · 2017Review
- Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy.BMC bioinformatics · 2017Article
- Quantitative Systems Biology to decipher design principles of a dynamic cell cycle network: the "Maximum Allowable mammalian Trade-Off-Weight" (MAmTOW).NPJ systems biology and applications · 2017Review
- Learning (from) the errors of a systems biology model.Scientific reports · 2016Article
- Strategies for structuring interdisciplinary education in Systems Biology: an European perspective.NPJ systems biology and applications · 2016Article
- Robust and efficient parameter estimation in dynamic models of biological systems.BMC systems biology · 2015Article
- A Computational Framework for Bioimaging Simulation.PloS one · 2015Article
- Agent-based spatiotemporal simulation of biomolecular systems within the open source MASON framework.BioMed research international · 2015Article
- Automatic validation of computational models using pseudo-3D spatio-temporal model checking.BMC systems biology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems biology aims at creating mathematical models, i.e., computational reconstructions of biological systems and processes that will result in a new level of understanding-the elucidation of the basic and presumably conserved "design" and "engineering" principles of biomolecular systems. Thus, systems biology will move biology from a phenomenological to a predictive science. Mathematical modeling of biological networks and processes has already greatly improved our understanding of many cellular processes. However, given the massive amount of qualitative and quantitative data currently produced and number of burning questions in health care and biotechnology needed to be solved is still in its early phases. The field requires novel approaches for abstraction, for modeling bioprocesses that follow different biochemical and biophysical rules, and for combining different modules into larger models that still allow realistic simulation with the computational power available today. We have identified and discussed currently most prominent problems in systems biology: (1) how to bridge different scales of modeling abstraction, (2) how to bridge the gap between topological and mechanistic modeling, and (3) how to bridge the wet and dry laboratory gap. The future success of systems biology largely depends on bridging the recognized gaps.
Indexed as
Identifiers
24728588What OpenQuestion holds
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.