Answers are grounded in this paper and cite their sources.
Mathematical approach predicts sigma bonds from topological parameters in molecular graphs, suggesting efficiency in structural chemistry.
Abstract Sigma (σ) bonds form the fundamental backbone of molecular connectivity, repre-senting the first covalent bond between two atoms in single, double, or triple bonds.Determining the number of σ bonds in a molecule is a basic yet essential task in struc-tural chemistry, with implications for stability, reactivity, and computational modeling.Traditional approaches require either manual bond counting from chemical drawingsor computational analysis of 3D structures, both of which can be time-consuming andprone to error for large, complex, or unconventional molecules.In this work, we present a mathematically rigorous and computationally efficientformula that predicts the number of σ bonds from three simple topological parameters:the total number of atoms (T ), the number of rings or faces (R), and a polyhedral indi-cator (ϕ). Derived directly from Euler’s characteristic for molecular graphs, the formula: σ = T +R −ϕ Achieves perfect agreement with known values across a diverse validationset of 50 molecules, including simple organics, heterocycles, ions, biomolecules, poly-hedral clusters, and extended frameworks. We provide a complete proof, schematicillustrations for planar and spherical embeddings, and an algorithmic flowchart. Thesimplicity, accuracy, and broad applicability make it a powerful tool for chemical in-formatics, education, and rapid molecular screening. For connected genus-0 moleculargraphs. Limitations for higher-genus/disconnected systems are noted.
No takes yet. Share an insight, caveat, or question.
Abhishek Mishra (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: