Finding Pathways in Reaction Networks Guided by Energy Barriers Using Integer Linear Programing

Analyzing synthesis pathways for target molecules in a chemical reaction network annotated with information on the kinetics of individual reactions is an area of active study. This work presents a computational methodology for searching for pathways in reaction networks which is based on integer linear programing and the modeling of reaction networks by directed hypergraphs. Often multiple pathways fit the given search criteria. To rank them, we develop an objective function based on physical arguments maximizing the probability of the pathway. We furthermore develop an automated pipeline to estimate the energy barriers of individual reactions in reaction networks. Combined, the methodology facilitates flexible and kinetically informed pathway investigations on large reaction networks by computational means, even for networks coming without kinetic annotation, such as those created via generative approaches for expanding molecular spaces. To demonstrate the methodology, we apply it on a chemical reaction network generated from 2-hydroxyethanenitrile, water, and ammonia, where we search for pathways to glycine and 2-hydroxyethanoic acid using the input molecules as precursors.

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Journal
Molecular Informatics
Published
2026-03-01
DOI
https://doi.org/10.1002/minf.70021
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Finding Pathways in Reaction Networks Guided by Energy Barriers Using Integer Linear Programing

Adittya Pal, Jakob Lykke Andersen, Daniel Merkle, Rolf Fagerberg et al.
Molecular Informatics
Gene Regulatory Network Analysis
article

Finding Pathways in Reaction Networks Guided by Energy Barriers Using Integer Linear Programing

Adittya Pal, Jakob Lykke Andersen, Daniel Merkle, Rolf Fagerberg, Peter Dittrich
article en

Abstract

Analyzing synthesis pathways for target molecules in a chemical reaction network annotated with information on the kinetics of individual reactions is an area of active study. This work presents a computational methodology for searching for pathways in reaction networks which is based on integer linear programing and the modeling of reaction networks by directed hypergraphs. Often multiple pathways fit the given search criteria. To rank them, we develop an objective function based on physical arguments maximizing the probability of the pathway. We furthermore develop an automated pipeline to estimate the energy barriers of individual reactions in reaction networks. Combined, the methodology facilitates flexible and kinetically informed pathway investigations on large reaction networks by computational means, even for networks coming without kinetic annotation, such as those created via generative approaches for expanding molecular spaces. To demonstrate the methodology, we apply it on a chemical reaction network generated from 2-hydroxyethanenitrile, water, and ammonia, where we search for pathways to glycine and 2-hydroxyethanoic acid using the input molecules as precursors.

Molecular InformaticsVol. 45(3)
University of Southern Denmark (DK), Bielefeld University (DE), Friedrich Schiller University Jena (DE)
Affordable and clean energy
Openalex Percentile: Top 7%
Gene Regulatory Network Analysis
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Finding Pathways in Reaction Networks Guided by Energy Barriers Using Integer Linear Programing — Adittya Pal, Jakob Lykke Andersen, et al. · Molecular Informatics (2026) | TGRS Research Map | TGRS