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  • The CORAL software (http://www.insilico.eu/coral/) has been examined as a tool for modeling anti-HIV-1 activity by quantitative structure - activity relationships (QSAR) for three different sets: (i) TIBO derivatives (n=82) (ii) anti-HIV-1 activity of 2-amino-6-arylsulfonylbenzonitriles and their congeners (n=64), and (iii) the measured binding affinity for fullerene-based HIV-1 PR inhibitors (n=48). A new global invariant ATOMPAIR of the molecular structure which can be calculated with the simplified molecular input line entry system (SMILES) was studied. The ATOMPAIR is an indicator of the joint presence of pairs of chemical elements (F, Cl, Br, N, O, S, and P) and three types of bonds (double covalent bond, triple covalent bond, and stereo chemical bond). Six random splits into sub-training, calibration, and test set were examined for each set. For the three aforementioned sets, the use of ATOMPAIR in the modeling process improves the predictive potential of the models for six random splits.
  • The CORAL software (http://www.insilico.eu/coral/) has been examined as a tool for modeling anti-HIV-1 activity by quantitative structure - activity relationships (QSAR) for three different sets: (i) TIBO derivatives (n=82) (ii) anti-HIV-1 activity of 2-amino-6-arylsulfonylbenzonitriles and their congeners (n=64), and (iii) the measured binding affinity for fullerene-based HIV-1 PR inhibitors (n=48). A new global invariant ATOMPAIR of the molecular structure which can be calculated with the simplified molecular input line entry system (SMILES) was studied. The ATOMPAIR is an indicator of the joint presence of pairs of chemical elements (F, Cl, Br, N, O, S, and P) and three types of bonds (double covalent bond, triple covalent bond, and stereo chemical bond). Six random splits into sub-training, calibration, and test set were examined for each set. For the three aforementioned sets, the use of ATOMPAIR in the modeling process improves the predictive potential of the models for six random splits. (en)
Title
  • Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method
  • Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method (en)
skos:prefLabel
  • Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method
  • Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method (en)
skos:notation
  • RIV/00064165:_____/13:10210264!RIV14-MZ0-00064165
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 69172
http://linked.open...ai/riv/idVysledku
  • RIV/00064165:_____/13:10210264
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CORAL software; Balance of correlations; SMILES; anti-HIV-1 activity; QSAR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • PL - Polská republika
http://linked.open...ontrolniKodProRIV
  • [E47A364ADD91]
http://linked.open...i/riv/nazevZdroje
  • Central European Journal of Chemistry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Raška, Ivan
  • Toropov, Andrey A.
  • Benfenati, Emilio
  • Gini, Giuseppina
  • Toropova, Alla P.
http://linked.open...ain/vavai/riv/wos
  • 000312878400008
issn
  • 1895-1066
number of pages
http://bibframe.org/vocab/doi
  • 10.2478/s11532-012-0166-3
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