Evidence map›Paper›PMID 40857297›Full record

ArticlePloS one2025

An open-source software for building and simulating ordinary differential equation models in biology.

Brenno Lemos Melquiades Dos Santos, Diego Augusto Silva Castro, Sávio Francisco Cirino da Paz, Davi Jannotti Coelho Pinheiro, Bárbara de Melo Quintela, Marcelo Lobosco, Alexandre Bittencourt Pigozzo

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brenno Lemos Melquiades Dos SantosDepartment of Computer Science, Federal University of São João del-Rei, João del-Rei, Minas Gerais, Brazil.
Diego Augusto Silva CastroDepartment of Computer Science, Federal University of São João del-Rei, João del-Rei, Minas Gerais, Brazil.
Sávio Francisco Cirino da PazDepartment of Computer Science, Federal University of São João del-Rei, João del-Rei, Minas Gerais, Brazil.
Davi Jannotti Coelho PinheiroDepartment of Computer Science, Federal University of São João del-Rei, João del-Rei, Minas Gerais, Brazil.
Bárbara de Melo QuintelaGraduate Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Marcelo LoboscoGraduate Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Alexandre Bittencourt PigozzoDepartment of Computer Science, Federal University of São João del-Rei, João del-Rei, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-2571-9578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical and computational modeling are transforming biological research by enabling detailed exploration of complex systems. However, building computational models of biological phenomena often demands expertise in mathematical modeling and programming, creating barriers for researchers without such backgrounds. Existing software tools for computational modeling are frequently complex, overly general, or proprietary, limiting their accessibility and usability. To overcome these challenges, we present ODE-Designer, an open-source software tool that facilitates the construction and simulation of Ordinary Differential Equation (ODE) models in biology. A central feature of ODE-Designer is its intuitive visual interface, designed to be user-friendly and accessible. The software includes a graphical user interface with a node-based editor that allows users to create models without writing code. It supports model simulation and automatically generates the corresponding code, enabling efficient model exploration and aiding students in understanding core modeling principles. We propose that ODE-Designer serves as a valuable resource for both research and education in computational biology, improving accessibility and promoting a quantitative perspective in biological research. The software is freely available at: https://github.com/ufsj-dcomp/ode-designer-rs/.

Indexed as

Computational BiologyComputer SimulationModels, BiologicalSoftwareHumansUser-Computer Interface

Identifiers

PMID40857297
PMCPMC12380267

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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.