A novel quantum-topology index

Area of Science:

• Computational Chemistry
• Quantitative Structure-Property Relationships (QSPR)
• Molecular Descriptors

Background:

• Molecular connectivity indexes are widely used to represent molecular structure.
• Existing descriptors have limitations in capturing complex structural nuances.
• There is a need for improved descriptors for accurate property prediction.

Purpose of the Study:

• To introduce novel quantum-topology descriptors based on modified molecular connectivity indexes.
• To evaluate the efficacy of these new descriptors in characterizing molecular structure.
• To compare the performance of new descriptors against established connectivity indexes.

Main Methods:

• Modification of delta values in molecular connectivity indexes.
• Calculation of new quantum-topology descriptors.
• Correlation analysis with experimental and calculated molecular properties.
• Validation using diverse chemical datasets (monohydrides, halogenobenzenes, SiXn compounds).

Main Results:

• The new quantum-topology descriptors successfully describe both geometric and electronic molecular structures.
• Strong correlations were observed between descriptors and properties like bonding energy, force constant, radius, solubility, hydrophobic constants, and heat of formation.
• The predictive ability of the new descriptors surpassed that of traditional chi connectivity indexes.

Conclusions:

• The developed quantum-topology descriptors offer a powerful tool for molecular structure representation.
• These descriptors exhibit enhanced capability in predicting diverse chemical and physical properties.
• The findings suggest a significant advancement in the field of molecular descriptors for QSPR studies.