ArticleGene regulation and systems biology2007
Computational systems biology in cancer: modeling methods and applications.
Article in Gene regulation and systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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.
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Who cites it
22 citing papers in PubMed.
- Article
- Incremental modelling and analysis of biological systems with fuzzy hybrid Petri nets.Briefings in bioinformatics · 2024Article
- Digitize your Biology! Modeling multicellular systems through interpretable cell behavior.bioRxiv : the preprint server for biology · 2023Article
- Verifiable biology.Journal of the Royal Society, Interface · 2023Review
- Multiscale computational modeling of cancer growth using features derived from microCT images.Scientific reports · 2021Article
- A New Mathematical Model for Controlling Tumor Growth Based on Microenvironment Acidity and Oxygen Concentration.BioMed research international · 2021Article
- Cancer systems immunology.eLife · 2020Review
- A System Biology-Based Approach for Designing Combination Therapy in Cancer Precision Medicine.BioMed research international · 2020Article
- High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow.BMC bioinformatics · 2018Article
- An agent-based model for drug-radiation interactions in the tumour microenvironment: Hypoxia-activated prodrug SN30000 in multicellular tumour spheroids.PLoS computational biology · 2018Article
- Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulatedProceedings. Mathematical, physical, and engineering sciences · 2017Article
- The tumor as an organ: comprehensive spatial and temporal modeling of the tumor and its microenvironment.BMC bioinformatics · 2016Article
- A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer.Briefings in bioinformatics · 2016Article
- Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.Advanced drug delivery reviews · 2015Review
- Enrichment map profiling of the cancer invasion front suggests regulation of colorectal cancer progression by the bone morphogenetic protein antagonist, gremlin-1.Molecular oncology · 2013Article
- The role of engineering approaches in analysing cancer invasion and metastasis.Nature reviews. Cancer · 2013Review
- Mining breast cancer genes with a network based noise-tolerant approach.BMC systems biology · 2013Article
- Bioinformatics for cancer immunology and immunotherapy.Cancer immunology, immunotherapy : CII · 2012Review
- Systems immunology: a survey of modeling formalisms, applications and simulation tools.Immunologic research · 2012Review
- Understanding natural killer cell regulation by mathematical approaches.Frontiers in immunology · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years it has become clear that carcinogenesis is a complex process, both at the molecular and cellular levels. Understanding the origins, growth and spread of cancer, therefore requires an integrated or system-wide approach. Computational systems biology is an emerging sub-discipline in systems biology that utilizes the wealth of data from genomic, proteomic and metabolomic studies to build computer simulations of intra and intercellular processes. Several useful descriptive and predictive models of the origin, growth and spread of cancers have been developed in an effort to better understand the disease and potential therapeutic approaches. In this review we describe and assess the practical and theoretical underpinnings of commonly-used modeling approaches, including ordinary and partial differential equations, petri nets, cellular automata, agent based models and hybrid systems. A number of computer-based formalisms have been implemented to improve the accessibility of the various approaches to researchers whose primary interest lies outside of model development. We discuss several of these and describe how they have led to novel insights into tumor genesis, growth, apoptosis, vascularization and therapy.
Indexed as
Identifiers
19936081PMC2759135What 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.