The TOPological Sub-Structural MOlecular DEsign (TOPS-MODE) approach has been applied to the study of the retention times in liquid chromatographic of various polyhalogenated biphenyls. A model able to describe more than 96 % of the variance in the experimental retention times of 56 organic compounds was developed with the use of the mentioned approach. In contrast, four different approaches, including the use of Constitutional, Charges indices, Randic Molecular profiles and RDF descriptors was able to explain more than 91 % of the variance in the mentioned property with the same number of descriptors. In addition, the TOPS MODE model was compared with the model obtained with Hasan and Jurs where the superior of the first was clearly demons...
QSRR models were developed for retention prediction of small molecules using data at five pH condit...
13. AB3STPACT ('AuZm,cc wrs) This thesis describes research involving Quantitative Structure-Re...
Quantitative structure–retention relationships (QSRRs) were derived for logarithms of retention fact...
Abstract: The paper presents a unitary approach of the use of a Molecular Descriptors Family in stru...
In high-performance liquid chromatography, quantitative structure-retention relationships (QSRRs) ar...
Quantitative structure-retention relationships (QSRRs) have successfully been developed for naturall...
Quantitative structure-retention relationships (QSRRs) have successfully been developed for naturall...
Quantitative Structure-Retention Relationships (QSRR) methodology combined with the Hydrophobic Subt...
Organic compounds containing heteroatoms or multiple bonds can be conveniently represented as vertex...
Quantitative structure-retention relationship (QSRR) models are powerful techniques for the predicti...
The hydrophobic subtraction model (HSM) combined with quantitative structure-retention relationships...
Quantitative Structure-Retention Relationship (QSRR) methodology is a useful tool in chromatography ...
QSRR models were developed for retention prediction of small molecules using data at five pH condit...
QSRR models were developed for retention prediction of small molecules using data at five pH condit...
13. AB3STPACT ('AuZm,cc wrs) This thesis describes research involving Quantitative Structure-Re...
Quantitative structure–retention relationships (QSRRs) were derived for logarithms of retention fact...
Abstract: The paper presents a unitary approach of the use of a Molecular Descriptors Family in stru...
In high-performance liquid chromatography, quantitative structure-retention relationships (QSRRs) ar...
Quantitative structure-retention relationships (QSRRs) have successfully been developed for naturall...
Quantitative structure-retention relationships (QSRRs) have successfully been developed for naturall...
Quantitative Structure-Retention Relationships (QSRR) methodology combined with the Hydrophobic Subt...
Organic compounds containing heteroatoms or multiple bonds can be conveniently represented as vertex...
Quantitative structure-retention relationship (QSRR) models are powerful techniques for the predicti...
The hydrophobic subtraction model (HSM) combined with quantitative structure-retention relationships...
Quantitative Structure-Retention Relationship (QSRR) methodology is a useful tool in chromatography ...
QSRR models were developed for retention prediction of small molecules using data at five pH condit...
QSRR models were developed for retention prediction of small molecules using data at five pH condit...
13. AB3STPACT ('AuZm,cc wrs) This thesis describes research involving Quantitative Structure-Re...
Quantitative structure–retention relationships (QSRRs) were derived for logarithms of retention fact...