Evidence map›Paper›PMID 39989828›Full record

ArticleACS omega2025

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

Diego Telles Fernandes, Karina Klock da Costa, Helton Siqueira Maciel, Radha Liliane Pinto Gonçalves, Dirceu Noriler

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Diego Telles FernandesPETROBRAS, Research and Development Center - CENPES, Av. Horacio de Macedo, 950, Ilha do Fundão, Rio de Janeiro, RJ 20031-912, Brazil.ORCID https://orcid.org/0009-0003-5232-7400
Karina Klock da CostaUNICAMP, School of Chemical Engineering, Albert Einstein Av, 500, Campinas 13083-872, Brazil.ORCID https://orcid.org/0009-0000-5985-4324
Helton Siqueira MacielPETROBRAS, Research and Development Center - CENPES, Av. Horacio de Macedo, 950, Ilha do Fundão, Rio de Janeiro, RJ 20031-912, Brazil.ORCID https://orcid.org/0009-0008-2542-1959
Radha Liliane Pinto GonçalvesPETROBRAS, Research and Development Center - CENPES, Av. Horacio de Macedo, 950, Ilha do Fundão, Rio de Janeiro, RJ 20031-912, Brazil.ORCID https://orcid.org/0009-0005-3127-5263
Dirceu NorilerUNICAMP, School of Chemical Engineering, Albert Einstein Av, 500, Campinas 13083-872, Brazil.ORCID https://orcid.org/0000-0001-5281-5226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39989828
PMCPMC11840628

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.