Optimal graph-based and simplified molecular input line entry system-based descriptors for quantitative structure-activity relationship analysis of arylalkylaminoalcohols, arylalkenylamines, and arylalkylamines as σ1 receptor ligands

Luisa Quesada-Romero, Karel Mena-Ulecia, Matias Zuñiga, Pedro De-la-Torre, Daniela Rossi, William Tiznado, Simona Collina, Julio Caballero

Resultado de la investigación: Contribución a una revistaArtículo

3 Citas (Scopus)

Resumen

In this investigation, an optimal description of the structure-activity relationship was done for 59 σ1 receptor ligands including arylalkylaminoalcohols, arylalkenylamines, and arylalkylamines (denoted as RC-33 analogs in this manuscript). We used optimal graph-based (GBD) and Simplified Molecular Input Line Entry System (SMILES)-based (SBD) descriptors as molecular characteristics of the structures to explain the differences in σ1 receptor affinity between the ligands. The best graph-based descriptor model (named HFG-EC0 in the manuscript) included hydrogen-filled molecular graphs using the extended connectivity of zero order (EC0). This model has an average correlation coefficient value for external test set of 0.786 with a better statistics when comparing with the best SBD model. The best SBD model (named SSSk in the manuscript) includes only three SMILES elements SSSk and has an average correlation coefficient value for external test set of 0.726. These models identified the molecular features that contribute to a high σ1 receptor ligand affinity.

Idioma originalInglés
Páginas (desde-hasta)13-20
Número de páginas8
PublicaciónJournal of Chemometrics
Volumen29
N.º1
DOI
EstadoPublicada - 1 ene 2015

Áreas temáticas de ASJC Scopus

  • Química analítica
  • Matemáticas aplicadas

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