Evidence map›Paper›PMID 33064138›Full record

ReviewBriefings in bioinformatics2021

A practical guide to mechanistic systems modeling in biology using a logic-based approach.

Anna Niarakis, Tomáš Helikar

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Data-driven synthetic microbes for sustainable future.NPJ systems biology and applications · 2025
    Review
  7. Article
  8. Article
  9. Forum on immune digital twins: a meeting report.NPJ systems biology and applications · 2024
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Boolean modelling as a logic-based dynamic approach in systems medicine.Computational and structural biotechnology journal · 2022
    Review
  16. Article
  17. Article
  18. Article
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

2 authors.

Anna NiarakisGenHotel, Univ Evry, University of Paris-Saclay, Genopole, 91025 Evry, France and Lifeware Group, Inria Saclay-île de France, Palaiseau 91120, France.ORCID 0000-0002-9687-7426
Tomáš HelikarDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.ORCID 0000-0003-3653-1906

Funding

Software for collaborative construction, simulation, and analysis of mechanistic computational models of biological systemsR35GM119770 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI Tomas Helikar · 2016 to 2026
$4.4M
NIGMS NIH HHS R35 GM119770
6 · The paper itself

Abstract

Mechanistic computational models enable the study of regulatory mechanisms implicated in various biological processes. These models provide a means to analyze the dynamics of the systems they describe, and to study and interrogate their properties, and provide insights about the emerging behavior of the system in the presence of single or combined perturbations. Aimed at those who are new to computational modeling, we present here a practical hands-on protocol breaking down the process of mechanistic modeling of biological systems in a succession of precise steps. The protocol provides a framework that includes defining the model scope, choosing validation criteria, selecting the appropriate modeling approach, constructing a model and simulating the model. To ensure broad accessibility of the protocol, we use a logical modeling framework, which presents a lower mathematical barrier of entry, and two easy-to-use and popular modeling software tools: Cell Collective and GINsim. The complete modeling workflow is applied to a well-studied and familiar biological process-the lac operon regulatory system. The protocol can be completed by users with little to no prior computational modeling experience approximately within 3 h.

Indexed as

AlgorithmsGene Regulatory NetworksSoftwareSystems BiologyModels, GeneticCell Collectivecomputational systems biologyGINsimin silico simulationslac operonmechanistic logic-based models

Identifiers

PMID33064138
PMCPMC8293813

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.