Result: An LLM-Based Tool for Automated Generation of 3D Model Organism Colony Simulations.

Title:
An LLM-Based Tool for Automated Generation of 3D Model Organism Colony Simulations.
Authors:
Guerrero Cheuquepán T; Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago 8370191, Chile., Cáceres Satorres I; Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago 8370191, Chile., Castro Salazar B; Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago 8370191, Chile., Castro Farías B; Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago 8370191, Chile., Gutiérrez Pescarmona M; Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago 8370191, Chile.
Source:
ACS synthetic biology [ACS Synth Biol] 2025 Nov 21; Vol. 14 (11), pp. 4606-4614. Date of Electronic Publication: 2025 Nov 10.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101575075 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2161-5063 (Electronic) Linking ISSN: 21615063 NLM ISO Abbreviation: ACS Synth Biol Subsets: MEDLINE
Imprint Name(s):
Original Publication: Washington, D.C. : American Chemical Society, c2012-
Contributed Indexing:
Keywords: 3D colony simulation; automated code generation; biological simulation; large language models; model organisms; unity engine
Entry Date(s):
Date Created: 20251110 Date Completed: 20251121 Latest Revision: 20251121
Update Code:
20251121
DOI:
10.1021/acssynbio.5c00402
PMID:
41208472
Database:
MEDLINE

Further Information

We present MicroVerse, a software application based on large language models (LLMs) designed to generate C# scripts simulating three-dimensional colonies of model organisms, including Escherichia coli and Saccharomyces cerevisiae , within the Unity platform. The system, which utilizes fine-tuned LLMs, translates descriptions of desired simulations (organizations, growth rates, and appearance) in natural language into functional C# code. The coupling of artificial intelligence with biological simulation generates intricate dynamics to be simulated. The approach involves using a dual-LLM pipeline (one computing user requests, the other generating code for Unity Data-Oriented Technology Stack (DOTS)), with the goal of making 3D simulation development more democratized. It provides a scalable, customizable option, particularly for users lacking sophisticated programming skills, decreasing manual coding effort and time. This work explains the pipeline architecture and fine-tuning process and demonstrates the system successfully producing functional, scalable simulations, scaling up to cases with more than one million organisms.