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

Different molecular representations exist to provide visual and mathematical means to depict complex structures. However, the detailing required for algorithmic applications remains a challenge. This study presents a methodology that uses two matrices to obtain a detailed molecular description. The proposed matrices are Molecule as a Graph (MAG), which describes a molecular graph providing detailed information about the bonds between atoms in a molecule, and an extended version of Structure-Oriented-Lumping (SOLex), representing each core in a molecule with 44 increments organized into vectors, capable of describing multicore structures. The combined use of these representations integrates the agility of SOLex with the structural detailing of MAG, enabling a rapid acquisition of detailed information about molecules. This can be applied in the calculation of thermodynamic properties using group contribution methods, as well as in the depiction of chemical reactions at molecular level, enabling precise identification of groups and reactive sites in molecules efficiently, even in complex algorithms. The methodology was designed for hydrocarbons from petroleum and biomass-derived sources, but can also be applied to different types of molecules, providing a versatile and efficient means of handling molecular information.

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Journal
ACS Omega
Published
2025-02-04
DOI
https://doi.org/10.1021/acsomega.4c08940
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Karina Klock da Costa, Dirceu Noriler, Helton Siqueira Maciel, Diego Telles Fernandes et al.
ACS Omega
Computational Drug Discovery Methods
article

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

Karina Klock da Costa, Dirceu Noriler, Helton Siqueira Maciel, Diego Telles Fernandes, Raquel Cristina Gonçalves
article en

Abstract

Different molecular representations exist to provide visual and mathematical means to depict complex structures. However, the detailing required for algorithmic applications remains a challenge. This study presents a methodology that uses two matrices to obtain a detailed molecular description. The proposed matrices are Molecule as a Graph (MAG), which describes a molecular graph providing detailed information about the bonds between atoms in a molecule, and an extended version of Structure-Oriented-Lumping (SOLex), representing each core in a molecule with 44 increments organized into vectors, capable of describing multicore structures. The combined use of these representations integrates the agility of SOLex with the structural detailing of MAG, enabling a rapid acquisition of detailed information about molecules. This can be applied in the calculation of thermodynamic properties using group contribution methods, as well as in the depiction of chemical reactions at molecular level, enabling precise identification of groups and reactive sites in molecules efficiently, even in complex algorithms. The methodology was designed for hydrocarbons from petroleum and biomass-derived sources, but can also be applied to different types of molecules, providing a versatile and efficient means of handling molecular information.

ACS OmegaVol. 10(6)
Universidade Estadual de Campinas (UNICAMP) (BR), Petrobras (Brazil) (BR)
Petrobras, Agência Nacional do Petróleo, Gás Natural e Biocombustíveis
Openalex Percentile: Top 97%
Computational Drug Discovery Methods
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MAG-SOLex Molecular Representation: A Methodology for Handling Complex Molecules in Algorithms — Karina Klock da Costa, Dirceu Noriler, et al. · ACS Omega (2025) | TGRS Research Map | TGRS