ReviewBioMed research international2017
Mathematical and Computational Modeling in Complex Biological Systems.
Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 117 citations in OpenAlex.
- Honokiol and Magnolol Exert an Anti-Inflammatory Effect by Inhibiting JAK2/STAT3/IL17 Signalling in a Rat Model of Ulcerative Colitis: A Combination of Bioinformatics and Experimental Study.Journal of cellular and molecular medicine · 2026Article
- Higher order synthetic lethals are keys to minimize cancer treatment effects on non-tumor cells.PloS one · 2026Article
- Altered thymic niche synergistically drives the massive proliferation of malignant thymocytes.eLife · 2025Article
- Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control.BMC bioinformatics · 2025Article
- Development of a mathematical model for microbial consumption of glucose and fructose during cocoa (Microbiology spectrum · 2025Article
- The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification.Annual review of biomedical engineering · 2025Review
- A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes.PLoS computational biology · 2025Article
- Improving neuroendocrine tumor treatments with mathematical modeling: lessons from other endocrine cancers.Endocrine oncology (Bristol, England) · 2025Review
- Aflibercept Off-Target Effects in Diabetic Macular Edema: An In Silico Modeling Approach.International journal of molecular sciences · 2024Article
- Incorporating temporal information during feature engineering bolsters emulation of spatio-temporal emergence.Bioinformatics (Oxford, England) · 2024Article
- Exploring the molecular landscape of osteosarcoma through PTTG family genes using a detailed multi-level methodology.Frontiers in genetics · 2024Article
- Review
- Prediction of hot spots towards drug discovery by protein sequence embedding with 1D convolutional neural network.PloS one · 2023Article
- The Future of Burn Care From a Complexity Science Perspective.Journal of burn care & research : official publication of the American Burn Association · 2022Article
- Article
- Gene Regulatory Identification Based on the Novel Hybrid Time-Delayed Method.Frontiers in genetics · 2022Article
- Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network.PeerJ · 2022Article
- Reverse engineering gene regulatory network based on complex-valued ordinary differential equation model.BMC bioinformatics · 2021Article
- Multiscale modeling in disease.Current opinion in systems biology · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biological process and molecular functions involved in the cancer progression remain difficult to understand for biologists and clinical doctors. Recent developments in high-throughput technologies urge the systems biology to achieve more precise models for complex diseases. Computational and mathematical models are gradually being used to help us understand the omics data produced by high-throughput experimental techniques. The use of computational models in systems biology allows us to explore the pathogenesis of complex diseases, improve our understanding of the latent molecular mechanisms, and promote treatment strategy optimization and new drug discovery. Currently, it is urgent to bridge the gap between the developments of high-throughput technologies and systemic modeling of the biological process in cancer research. In this review, we firstly studied several typical mathematical modeling approaches of biological systems in different scales and deeply analyzed their characteristics, advantages, applications, and limitations. Next, three potential research directions in systems modeling were summarized. To conclude, this review provides an update of important solutions using computational modeling approaches in systems biology.
Indexed as
Identifiers
What 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.