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Graph-Based Internal Coordinate Analysis for Transition State Characterization.

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GraphRC rapidly analyzes transition state (TS) modes using internal coordinates from molecular graphs. This method provides chemical insights into reaction pathways without needing initial and final structures.

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Area of Science:

  • Computational Chemistry
  • Chemical Kinetics
  • Molecular Modeling

Background:

  • Transition state (TS) analysis is crucial for understanding chemical reactions.
  • Current methods often rely on Cartesian coordinates, limiting direct chemical interpretation of bonding changes.
  • Intrinsic Reaction Coordinate (IRC) and Quick Reaction Coordinate (QRC) calculations trace reaction pathways but can be computationally intensive.

Purpose of the Study:

  • To develop a rapid method for analyzing transition state (TS) modes.
  • To provide chemical insight into reaction coordinates using internal coordinates.
  • To enable programmatic TS verification and analysis.

Main Methods:

  • GraphRC method utilizing internal coordinates (bonds, angles, dihedrals) derived from molecular graphs.
  • Employing xyzgraph for molecular connectivity determination, validated across diverse chemical structures.
  • Analysis of TS imaginary modes and comparison with IRC/QRC derived connectivity.

Main Results:

  • GraphRC achieved 100% identification of bond changes, rotations, and inversions in initial validation.
  • Zero false positives were observed when comparing graphRC to IRC and QRC connectivity.
  • Normal-mode analysis alone detected primary bond changes in all 395 tested TS, agreeing well with IRC data.

Conclusions:

  • GraphRC offers rapid and interpretable analysis of TS modes and reaction coordinates.
  • The method provides chemical insights without prior knowledge of reactant/product structures.
  • GraphRC complements rigorous calculations by enabling cost-effective programmatic TS verification.