El Agente Estructural: An Artificially Intelligent Molecular Editor

Fuente: arXiv
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Main Authors: Choi, Changhyeok, Zou, Yunheng, Müller, Marcel, Hao, Han, Kang, Yeonghun, Pérez-Sánchez, Juan B., Gustin, Ignacio, Xu, Hanyong, Wang, Andrew, Vakili, Mohammad Ghazi, Crebolder, Chris, Aspuru-Guzik, Alán, Bernales, Varinia
Format: Preprint
Published: 2026
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author Choi, Changhyeok
Zou, Yunheng
Müller, Marcel
Hao, Han
Kang, Yeonghun
Pérez-Sánchez, Juan B.
Gustin, Ignacio
Xu, Hanyong
Wang, Andrew
Vakili, Mohammad Ghazi
Crebolder, Chris
Aspuru-Guzik, Alán
Bernales, Varinia
author_facet Choi, Changhyeok
Zou, Yunheng
Müller, Marcel
Hao, Han
Kang, Yeonghun
Pérez-Sánchez, Juan B.
Gustin, Ignacio
Xu, Hanyong
Wang, Andrew
Vakili, Mohammad Ghazi
Crebolder, Chris
Aspuru-Guzik, Alán
Bernales, Varinia
contents We present El Agente Estructural, a multimodal, natural-language-driven geometry-generation and manipulation agent for autonomous chemistry and molecular modelling. Unlike molecular generation or editing via generative models, Estructural mimics how human experts directly manipulate molecular systems in three dimensions by integrating a comprehensive set of domain-informed tools and vision-language models. This design enables precise control over atomic or functional group replacements, atomic connectivity, and stereochemistry without the need to rebuild extensive core molecular frameworks. Through a series of representative case studies, we demonstrate that Estructural enables chemically meaningful geometry manipulation across a wide range of real-world scenarios. These include site-selective functionalization, ligand binding, ligand exchange, stereochemically controlled structure construction, isomer interconversion, fragment-level structural analysis, image-guided generation of structures from schematic reaction mechanisms, and mechanism-driven geometry generation and modification. These examples illustrate how multimodal reasoning, when combined with specialized geometry-aware tools, supports interactive and context-aware molecular modelling beyond structure generation. Looking forward, the integration of Estructural into El Agente Quntur, an autonomous multi-agent quantum chemistry platform, enhances its capabilities by adding sophisticated tools for the generation and editing of three-dimensional structures.
format Preprint
id arxiv_https___arxiv_org_abs_2602_04849
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle El Agente Estructural: An Artificially Intelligent Molecular Editor
Choi, Changhyeok
Zou, Yunheng
Müller, Marcel
Hao, Han
Kang, Yeonghun
Pérez-Sánchez, Juan B.
Gustin, Ignacio
Xu, Hanyong
Wang, Andrew
Vakili, Mohammad Ghazi
Crebolder, Chris
Aspuru-Guzik, Alán
Bernales, Varinia
Chemical Physics
Artificial Intelligence
Multiagent Systems
We present El Agente Estructural, a multimodal, natural-language-driven geometry-generation and manipulation agent for autonomous chemistry and molecular modelling. Unlike molecular generation or editing via generative models, Estructural mimics how human experts directly manipulate molecular systems in three dimensions by integrating a comprehensive set of domain-informed tools and vision-language models. This design enables precise control over atomic or functional group replacements, atomic connectivity, and stereochemistry without the need to rebuild extensive core molecular frameworks. Through a series of representative case studies, we demonstrate that Estructural enables chemically meaningful geometry manipulation across a wide range of real-world scenarios. These include site-selective functionalization, ligand binding, ligand exchange, stereochemically controlled structure construction, isomer interconversion, fragment-level structural analysis, image-guided generation of structures from schematic reaction mechanisms, and mechanism-driven geometry generation and modification. These examples illustrate how multimodal reasoning, when combined with specialized geometry-aware tools, supports interactive and context-aware molecular modelling beyond structure generation. Looking forward, the integration of Estructural into El Agente Quntur, an autonomous multi-agent quantum chemistry platform, enhances its capabilities by adding sophisticated tools for the generation and editing of three-dimensional structures.
title El Agente Estructural: An Artificially Intelligent Molecular Editor
topic Chemical Physics
Artificial Intelligence
Multiagent Systems
url https://arxiv.org/abs/2602.04849