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Description
  • The regression diagnostics algorithm REGDIA in S-Plus is introduced to examine the accuracy of pKa predicted with four programs: PALLAS, MARVIN, PERRIN and SYBYL. On basis of a statistical analysis of residuals, outlier diagnostics are proposed. Residual analysis of the ADSTAT program is based on examining goodness-of-fit via graphical diagnostics of 15 exploratory data analysis plots. Outliers in pKa relate to molecules which are poorly characterized by the considered pKa program. Of the seven most efficient diagnostic plots (the Williams graph, Graph of predicted residuals, Pregibon graph, Gray L-R graph, The six statistical characteristics, Fexp, R2, R2P, MEP, AIC, and s in pKa units. The proposed accuracy test of the REGDIA program can also be extended to test other predicted values, as log P, log D, aqueous solubility or some physicochemical properties.
  • The regression diagnostics algorithm REGDIA in S-Plus is introduced to examine the accuracy of pKa predicted with four programs: PALLAS, MARVIN, PERRIN and SYBYL. On basis of a statistical analysis of residuals, outlier diagnostics are proposed. Residual analysis of the ADSTAT program is based on examining goodness-of-fit via graphical diagnostics of 15 exploratory data analysis plots. Outliers in pKa relate to molecules which are poorly characterized by the considered pKa program. Of the seven most efficient diagnostic plots (the Williams graph, Graph of predicted residuals, Pregibon graph, Gray L-R graph, The six statistical characteristics, Fexp, R2, R2P, MEP, AIC, and s in pKa units. The proposed accuracy test of the REGDIA program can also be extended to test other predicted values, as log P, log D, aqueous solubility or some physicochemical properties. (en)
Title
  • Outliers detection in the statistical accuracy test of a pK(a) prediction
  • Outliers detection in the statistical accuracy test of a pK(a) prediction (en)
skos:prefLabel
  • Outliers detection in the statistical accuracy test of a pK(a) prediction
  • Outliers detection in the statistical accuracy test of a pK(a) prediction (en)
skos:notation
  • RIV/00216275:25310/10:39881457!RIV11-MZ0-25310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NR9055), Z(MSM 253100002), Z(MSM0021627502)
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 277742
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25310/10:39881457
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Williams graph; Goodness-of-fit; Residuals; Outliers; Dissociation constants; pKa prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [5568AC575E0B]
http://linked.open...i/riv/nazevZdroje
  • Journal of Mathematical Chemistry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 47
http://linked.open...iv/tvurceVysledku
  • Kupka, Karel
  • Meloun, Milan
  • Bordovská, Sylva
http://linked.open...ain/vavai/riv/wos
  • 000273480100019
http://linked.open...n/vavai/riv/zamer
issn
  • 0259-9791
number of pages
http://localhost/t...ganizacniJednotka
  • 25310
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