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Data Science Guiding Analysis of Organic Reaction Mechanism and Prediction

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Author(s):
Tamega, Giovanna Scalli ; Costa, Mateus Oliveira ; Pereira, Ariel de Araujo ; Ferreira, Marco Antonio Barbosa
Total Authors: 4
Document type: Journal article
Source: CHEMICAL RECORD; v. N/A, p. 45-pg., 2024-11-05.
Abstract

Advancements in synthetic organic chemistry are closely related to understanding substrate and catalyst reactivities through detailed mechanistic studies. Traditional mechanistic investigations are labor-intensive and rely on experimental kinetic, thermodynamic, and spectroscopic data. Linear free energy relationships (LFERs), exemplified by Hammett relationships, have long facilitated reactivity prediction despite their inherent limitations when using experimental constants or incorporating comprehensive experimental data. Data-driven modeling, which integrates cheminformatics with machine learning, offers powerful tools for predicting and interpreting mechanisms and effectively handling complex reactivities through multiparameter strategies. This review explores selected examples of data-driven strategies for investigating organic reaction mechanisms. It highlights the evolution and application of computational descriptors for mechanistic inference. (AU)

FAPESP's process: 21/12394-0 - Sustainable synthetic methods employing catalysis, benign solvents, safer reagents, and bio-renewable feedstock
Grantee:Arlene Gonçalves Corrêa
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 22/11314-5 - Data-driven catalyst design: methodological development and mechanistic studies
Grantee:Marco Antonio Barbosa Ferreira
Support Opportunities: Regular Research Grants
FAPESP's process: 20/10246-0 - Nuclear magnetic resonance spectroscopy: from pulse sequences to structural assignments
Grantee:Claudio Francisco Tormena
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 24/00752-7 - Development of Palladium-Photoredox Catalyzed Trifluoromethylation Reactions Assisted by Statistical Tools
Grantee:Giovanna Scalli Tâmega
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 24/11665-8 - Mechanistic Investigation Involving Amide Bond Formation Reactions between Carboxylic Acids and Amines Catalyzed by Boronic Acids
Grantee:Ariel de Araújo Pereira
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)