dc.creatorDuchowicz, Pablo Román
dc.creatorCastro, Eduardo Alberto
dc.creatorFernández, Francisco Marcelo
dc.date2006
dc.date2022-07-06T14:53:59Z
dc.date.accessioned2023-07-15T04:44:08Z
dc.date.available2023-07-15T04:44:08Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/139006
dc.identifierissn:0259-9791
dc.identifierissn:1572-8897
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7470685
dc.descriptionIn this study we present a simple algorithm based on the Partial Order Ranking (POR) technique which allows to rank a series of compounds according to their molecular descriptor values. A training set composed of 82 normal boiling points for structurally diverse organic compounds is analyzed by considering a pool of 1202 molecular descriptors obtained from the Dragon 5 software and two “flexible” type of variables. The predictive performance of the proposed approach is assessed by means of a test set of 82 “unknown” structurally related molecules.
dc.descriptionInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
dc.formatapplication/pdf
dc.format620-636
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectFísica
dc.subjectQuímica
dc.subjectPartial Order Ranking
dc.subjectQSPR-QSAR
dc.subjectmolecular descriptor
dc.subjectnormal boiling point
dc.titleApplication of a novel ranking approach in QSPR-QSAR
dc.typeArticulo
dc.typeArticulo


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