Towards Mass Spectrum Analysis with ASP

Abstract We present a new use of Answer Set Programming (ASP) to discover the molecular structure of chemical samples based on the relative abundance of elements and structural fragments, as measured in mass spectrometry. To constrain the exponential search space for this combinatorial problem, we develop canonical representations of molecular structures and an ASP implementation that uses these definitions. We evaluate the correctness of our implementation over a large set of known molecular structures, and we compare its quality and performance to other ASP symmetry-breaking methods and to a commercial tool from analytical chemistry.

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Publication Details

Journal
Theory and Practice of Logic Programming
Published
2026-02-19
DOI
https://doi.org/10.1017/s1471068426100398
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards Mass Spectrum Analysis with ASP

Theory and Practice of Logic Programming
Logic, Reasoning, and Knowledge
article

Towards Mass Spectrum Analysis with ASP

article en

Abstract

Abstract We present a new use of Answer Set Programming (ASP) to discover the molecular structure of chemical samples based on the relative abundance of elements and structural fragments, as measured in mass spectrometry. To constrain the exponential search space for this combinatorial problem, we develop canonical representations of molecular structures and an ASP implementation that uses these definitions. We evaluate the correctness of our implementation over a large set of known molecular structures, and we compare its quality and performance to other ASP symmetry-breaking methods and to a commercial tool from analytical chemistry.

Theory and Practice of Logic Programming
Technische Universität Dresden (DE)
ITEA, Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 99%
Logic, Reasoning, and Knowledge
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Towards Mass Spectrum Analysis with ASP · Theory and Practice of Logic Programming (2026) | TGRS Research Map | TGRS