ReviewFrontiers in genetics2015
The (Mathematical) Modeling Process in Biosciences.
Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Optimization of metabolizable energy prediction models for maize in laying hens by incorporating anti-nutritional factors.Poultry science · 2026Article
- Primer on Modelling Approaches for Omics Data.Advances in experimental medicine and biology · 2026Article
- Big Data and AI-Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Refining Boolean models with the partial most permissive scheme.Bioinformatics (Oxford, England) · 2025Article
- A dataset of a stimulated biceps muscle of electromyogram signal by using rossler chaotic equation.Data in brief · 2023Article
- Study on the Biodegradation Process of D-Mannose Glycopolymers in Liquid Media and Soil.Polymers · 2023Article
- Biomarkers or biotargets? Using competition to lure cancer cells into evolutionary traps.Evolution, medicine, and public health · 2023Article
- A group theoretic approach to model comparison with simplicial representations.Journal of mathematical biology · 2022Article
- Review
- A mathematical model for strigolactone biosynthesis in plants.Frontiers in plant science · 2022Article
- Relating simulation studies by provenance-Developing a family of Wnt signaling models.PLoS computational biology · 2021Article
- Incorporating Time Delays in the Mathematical Modelling of the Human Immune Response in Viral Infections.Procedia computer science · 2021Article
- How and why to build a mathematical model: A case study using prion aggregation.The Journal of biological chemistry · 2020Review
- Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram.PloS one · 2016Article
- Mechanistic modeling of mitosis: Insights from three collaborative case studies.Seminars in cell & developmental biologyReview
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this communication, we introduce a general framework and discussion on the role of models and the modeling process in the field of biosciences. The objective is to sum up the common procedures during the formalization and analysis of a biological problem from the perspective of Systems Biology, which approaches the study of biological systems as a whole. We begin by presenting the definitions of (biological) system and model. Particular attention is given to the meaning of mathematical model within the context of biology. Then, we present the process of modeling and analysis of biological systems. Three stages are described in detail: conceptualization of the biological system into a model, mathematical formalization of the previous conceptual model and optimization and system management derived from the analysis of the mathematical model. All along this work the main features and shortcomings of the process are analyzed and a set of rules that could help in the task of modeling any biological system are presented. Special regard is given to the formative requirements and the interdisciplinary nature of this approach. We conclude with some general considerations on the challenges that modeling is posing to current biology.
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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.