Characterizing Reaction Route Map of Realistic Molecular Reactions based on Weight Rank Clique Filtration of Persistent Homology
Burai Murayama, Masato Kobayashi, Masamitsu Aoki, Suguru Ishibashi,, Takuya Saito, Takenobu Nakamura, Hiroshi Teramoto, and Tetsuya Taketsugu

TL;DR
This paper introduces a topological analysis method using persistent homology to characterize reaction route maps of molecular reactions, providing insights into their energy landscapes and reaction pathways.
Contribution
The study presents a practical approach to extract topological descriptors from weighted graphs of molecular reactions using persistent homology, applicable to realistic systems.
Findings
Method extracts topological features similar to previous approaches.
Descriptors reflect reaction characteristics and physicochemical properties.
Applicable to complex, realistic molecular reaction networks.
Abstract
A reaction route map (RRM) constructed using the GRRM program is a collection of elementary reaction pathways, each of which comprises two equilibrium (EQ) geometries and one transition state (TS) geometry connected by an intrinsic reaction coordinate (IRC). An RRM can be mathematically represented by a graph with weights assigned to both vertices, corresponding to EQs, and edges, corresponding to TSs, representing the corresponding energies. In this study, we propose a method to extract topological descriptors of a weighted graph representing an RRM based on persistent homology (PH). The work of Mirth et al. [J. Chem. Phys. 2021, 154, 114114], in which PH analysis was applied to the (3N-6)-dimensional potential energy surface of an N atomic system, is related to the present method, but our method is practically applicable to realistic molecular reactions. Numerical assessments revealed…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Computational Drug Discovery Methods · Protein Structure and Dynamics
