Cargando…
Prediction of Standard Enthalpy of Formation by a QSPR Model
The standard enthalpy of formation of 1115 compounds from all chemical groups, were predicted using genetic algorithm-based multivariate linear regression (GA-MLR). The obtained multivariate linear five descriptors model by GA-MLR has correlation coefficient (R(2) = 0.9830). All molecular descriptor...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692305/ |
_version_ | 1782274596646420480 |
---|---|
author | Vatani, Ali Mehrpooya, Mehdi Gharagheizi, Farhad |
author_facet | Vatani, Ali Mehrpooya, Mehdi Gharagheizi, Farhad |
author_sort | Vatani, Ali |
collection | PubMed |
description | The standard enthalpy of formation of 1115 compounds from all chemical groups, were predicted using genetic algorithm-based multivariate linear regression (GA-MLR). The obtained multivariate linear five descriptors model by GA-MLR has correlation coefficient (R(2) = 0.9830). All molecular descriptors which have entered in this model are calculated from chemical structure of any molecule. As a result, application of this model for any compound is easy and accurate. |
format | Online Article Text |
id | pubmed-3692305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36923052013-06-26 Prediction of Standard Enthalpy of Formation by a QSPR Model Vatani, Ali Mehrpooya, Mehdi Gharagheizi, Farhad Int J Mol Sci Full Research Paper The standard enthalpy of formation of 1115 compounds from all chemical groups, were predicted using genetic algorithm-based multivariate linear regression (GA-MLR). The obtained multivariate linear five descriptors model by GA-MLR has correlation coefficient (R(2) = 0.9830). All molecular descriptors which have entered in this model are calculated from chemical structure of any molecule. As a result, application of this model for any compound is easy and accurate. Molecular Diversity Preservation International (MDPI) 2007-05-22 /pmc/articles/PMC3692305/ Text en © 2007 by MDPI Reproduction is permitted for noncommercial purposes. |
spellingShingle | Full Research Paper Vatani, Ali Mehrpooya, Mehdi Gharagheizi, Farhad Prediction of Standard Enthalpy of Formation by a QSPR Model |
title | Prediction of Standard Enthalpy of Formation by a QSPR Model |
title_full | Prediction of Standard Enthalpy of Formation by a QSPR Model |
title_fullStr | Prediction of Standard Enthalpy of Formation by a QSPR Model |
title_full_unstemmed | Prediction of Standard Enthalpy of Formation by a QSPR Model |
title_short | Prediction of Standard Enthalpy of Formation by a QSPR Model |
title_sort | prediction of standard enthalpy of formation by a qspr model |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692305/ |
work_keys_str_mv | AT vataniali predictionofstandardenthalpyofformationbyaqsprmodel AT mehrpooyamehdi predictionofstandardenthalpyofformationbyaqsprmodel AT gharagheizifarhad predictionofstandardenthalpyofformationbyaqsprmodel |