An Automated Intermolecular Reaction Discovery Approach Relying on Heuristic Atom-Partitioned Frontier Orbital Features

Large-scale computational exploration of reactions offers a new perspective for understanding chemical reaction processes. However, it often relies on chemical intuition and extensive manual effort. We introduce here a novel algorithm for the fast exploration of possible products in bimolecular reactions. The algorithm is based on atomistic features derived from inexpensive electronic structure theory calculations. With the electronic structure as the sole required input from reactants, the reaction search includes the assessment of reactivity sites, the construction of corresponding trial reaction coordinates, and their exploration, all of which can be carried out autonomously. We demonstrate that our algorithm significantly reduces the manual effort involved in chemical reaction exploration using as a reference a large set of prototype reactions obtained from textbooks and published databases. Furthermore, a new product exploration approach based on a harmonic force field optimization achieves around 97% success in reproducing reference reaction outcomes, while keeping the computational cost low, thus ensuring both reliability and efficiency. The entire reaction exploration workflow has been implemented in a self-developed reaction exploration package called aRST.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-08-19
DOI
https://doi.org/10.1021/acs.jcim.5c00908
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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article

An Automated Intermolecular Reaction Discovery Approach Relying on Heuristic Atom-Partitioned Frontier Orbital Features

Christoph Bannwarth, Ying Chen
1 citations
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
1.50
article

An Automated Intermolecular Reaction Discovery Approach Relying on Heuristic Atom-Partitioned Frontier Orbital Features

Christoph Bannwarth, Ying Chen
article en
1 citations

Abstract

Large-scale computational exploration of reactions offers a new perspective for understanding chemical reaction processes. However, it often relies on chemical intuition and extensive manual effort. We introduce here a novel algorithm for the fast exploration of possible products in bimolecular reactions. The algorithm is based on atomistic features derived from inexpensive electronic structure theory calculations. With the electronic structure as the sole required input from reactants, the reaction search includes the assessment of reactivity sites, the construction of corresponding trial reaction coordinates, and their exploration, all of which can be carried out autonomously. We demonstrate that our algorithm significantly reduces the manual effort involved in chemical reaction exploration using as a reference a large set of prototype reactions obtained from textbooks and published databases. Furthermore, a new product exploration approach based on a harmonic force field optimization achieves around 97% success in reproducing reference reaction outcomes, while keeping the computational cost low, thus ensuring both reliability and efficiency. The entire reaction exploration workflow has been implemented in a self-developed reaction exploration package called aRST.

Journal of Chemical Information and ModelingVol. 65(17)
RWTH Aachen University (DE)
Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
1.50
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An Automated Intermolecular Reaction Discovery Approach Relying on Heuristic Atom-Partitioned Frontier Orbital Features — Christoph Bannwarth, Ying Chen · Journal of Chemical Information and Modeling (2025) | TGRS Research Map | TGRS