Evidence map›Paper›PMID 42453133›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Chemical organizations as a conceptual tool: from synthetic biology to interdisciplinary systems and back.

Tomas Veloz, Christian Jendreiko

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. 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
0cells of the map it votes in
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

2 authors.

Tomas VelozMathematics Department, Universidad Tecnologica Metropolitana, Santiago, Chile.
Christian JendreikoHSD, University of Applied Sciences, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a synthetic biology framework called Chemical Organization Theory (COT), that formalizes synthetic biology concepts using reaction networks. We show how this formalism applies across synthetic biology scales, from genetic circuits and metabolic engineering to synthetic consortia, and demonstrate through a dedicated computational platform (pyCOT) how abstract concepts like self-organization, emergence, feedback, and resilience become operational and computable. Drawing on 4 years of pedagogical implementation across diverse student populations-with backgrounds spanning design, social sciences, mathematics, and ecology-we find that organizational reasoning transfers effectively across disciplines. This interdisciplinary experience revealed a key pedagogical principle: students develop stronger systems thinking when they first encounter organizational concepts through familiar, non-biological systems before transferring to synthetic biology. We argue that this graduated complexity approach, enabled by COT's domain-general formalism, addresses a fundamental gap in synthetic biology education and offers a pathway for spreading complex adaptive systems literacy beyond biology.

Indexed as

chemical organization theorycomplex adaptive systemspyCOTself-organizationsynthetic biology educationsystems biology

Identifiers

PMID42453133
PMCPMC13365320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.