MAG-SOLex Molecular Representation: A Methodology for Handling Complex Molecules in Algorithms

Area of Science:

• Computational Chemistry
• Cheminformatics
• Molecular Modeling

Background:

• Algorithmic applications require detailed molecular representations, which are currently challenging.
• Existing methods for depicting molecular structures lack the necessary detail for complex computations.

Purpose of the Study:

• To present a novel methodology for obtaining detailed molecular descriptions using two matrices.
• To integrate existing representation methods for enhanced molecular information acquisition.

Main Methods:

• Developed a methodology employing two matrices: Molecule as a Graph (MAG) and an extended Structure-Oriented-Lumping (SOLex).
• MAG describes molecular graphs and atomic bonds; SOLex represents molecular cores with 44 increments in vectors for multicore structures.

Main Results:

• The combined MAG and SOLex approach provides agile and detailed molecular information.
• Successfully integrated the structural detailing of MAG with the agility of SOLex for efficient data acquisition.

Conclusions:

• The methodology enables rapid acquisition of detailed molecular information for complex structures.
• Applicable to thermodynamic property calculations, chemical reaction depiction, and precise identification of molecular groups and reactive sites.
• Versatile for hydrocarbons and other molecular types, offering efficient molecular data handling.