Results 231 to 240 of about 75,103 (257)
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Mutagenicity: QSAR - quasi-QSAR - nano-QSAR
Mini-Reviews in Medicinal Chemistry, 2015Mutagenic potential of biphenyl-4-amines and multi-walled carbon nanotubes (MWCNTs) have been modeled by optimal descriptors. The optimal descriptors are calculated with the Monte Carlo method by means of the CORAL software (http://www.insilico.eu/coral).
Alla Toropova, Andrey Toropov
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LQTA-QSAR: A New 4D-QSAR Methodology
Journal of Chemical Information and Modeling, 2009A novel 4D-QSAR approach which makes use of the molecular dynamics (MD) trajectories and topology information retrieved from the GROMACS package is presented in this study. This new methodology, named LQTA-QSAR (LQTA, Laboratório de Quimiometria Teórica e Aplicada), has a module (LQTAgrid) that calculates intermolecular interaction energies at each ...
João Paulo A, Martins +3 more
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2011
The analysis of the structure-antiherpetic activity relationship for nitrogen-containing cyclic compounds with the usage of QSAR methods on the basis of the simplex representation of a molecular structure and the circular model has been carried out. Structural factors which are responsible for the antiherpetic activity realization are determined on the
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The analysis of the structure-antiherpetic activity relationship for nitrogen-containing cyclic compounds with the usage of QSAR methods on the basis of the simplex representation of a molecular structure and the circular model has been carried out. Structural factors which are responsible for the antiherpetic activity realization are determined on the
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2016
This chapter introduces the basis of computational chemistry and discusses how computational methods have been extended from physical to biological properties, and toxicology in particular, modeling. Since about three decades, chemical experimentation is more and more replaced by modeling and virtual experimentation, using a large core of mathematics ...
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This chapter introduces the basis of computational chemistry and discusses how computational methods have been extended from physical to biological properties, and toxicology in particular, modeling. Since about three decades, chemical experimentation is more and more replaced by modeling and virtual experimentation, using a large core of mathematics ...
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Bioorganic & Medicinal Chemistry, 2004
The prediction from structure of ADME (absorption, distribution, metabolism, elimination) of drug candidates is an important goal to achieve since it can considerably reduce the cost of drug development. Using our database of 10,700 QSAR, we are now reaching the point where we can make many useful comparisons that illustrate how ADME is a practical way
Corwin, Hansch +3 more
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The prediction from structure of ADME (absorption, distribution, metabolism, elimination) of drug candidates is an important goal to achieve since it can considerably reduce the cost of drug development. Using our database of 10,700 QSAR, we are now reaching the point where we can make many useful comparisons that illustrate how ADME is a practical way
Corwin, Hansch +3 more
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2013
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???????????????????????????????? ????????????????-???????????????????? ?????????????? ????1 ???????????????? ???????????? ????????????????-???????????????????? ???????????????????????? 9 ?????????????????????? ?????????????????????????????????? ????????????. ???????????????????? QSAR-????????????, ?????????????????????? ?????????????????????? ??????????
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Journal of Chemical Information and Modeling, 2005
Quantitative Structure Activity Relationship (QSAR) is a term describing a variety of approaches that are of substantial interest for chemistry. This method can be defined as indirect molecular design by the iterative sampling of the chemical compounds space to optimize a certain property and thus indirectly design the molecular structure having this ...
Jaroslaw, Polanski +3 more
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Quantitative Structure Activity Relationship (QSAR) is a term describing a variety of approaches that are of substantial interest for chemistry. This method can be defined as indirect molecular design by the iterative sampling of the chemical compounds space to optimize a certain property and thus indirectly design the molecular structure having this ...
Jaroslaw, Polanski +3 more
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Journal of Chemical Information and Modeling, 2008
A range of good quality, local QSARs for mutagenicity and carcinogenicity have been assessed and challenged for their predictivity in respect to real external test sets (i.e., chemicals never considered by the authors while developing their models). The QSARs for potency (applicable only to toxic chemicals) generated predictions 30-70% correct, whereas
Romualdo, Benigni, Cecilia, Bossa
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A range of good quality, local QSARs for mutagenicity and carcinogenicity have been assessed and challenged for their predictivity in respect to real external test sets (i.e., chemicals never considered by the authors while developing their models). The QSARs for potency (applicable only to toxic chemicals) generated predictions 30-70% correct, whereas
Romualdo, Benigni, Cecilia, Bossa
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