Optimal descriptors calculated with Simplified Molecular Input Line Entry System (SMILES) notation have been used in quantitative structure-property relationships (QSPR) of half-wave potential of N-benzylsalicylthioamides. The QSPR developed is one-variable model based on the optimal descriptors calculated with the Monte Carlo method. The approach has been checked up with three random splits into the training and test sets. Mechanistic interpretations (structural alerts related to the half-wave potential) of the model are discussed.
21 sv.
- MeSH
- Quantitative Structure-Activity Relationship MeSH
- Publication type
- Periodical MeSH
- Conspectus
- Farmacie. Farmakologie
- NML Fields
- farmacie a farmakologie
- farmacie a farmakologie
A quantitative structure-activity relationship (QSAR) model dependent on log P(n - octanol/water), or log P(OW), was developed with acute toxicity index EC50, the median effective concentration measured as inhibition of movement of the oligochaeta Tubifex tubifex with 3 min exposure, EC50(Tt) (mol/L): log EC50(Tt) = -0.809 (+/-0.035) log P(OW) - 0.495 (+/-0.060), n=82, r=0.931, r2=0.867, residual standard deviation of the estimate 0.315. A learning series for the QSAR model with the oligochaete contained alkanols, alkenols, and alkynols; saturated and unsaturated aldehydes; aniline and chlorinated anilines; phenol and chlorinated phenols; and esters. Three cross-validation procedures proved the robustness and stability of QSAR models with respect to the chemical structure of compounds tested within a series of compounds used in the learning series. Predictive ability was described by q2 .801 (cross-validated r2; predicted variation estimated with cross-validation) in LSO (leave-a structurally series-out) cross-validation.
This paper is an overview of the most significant and impactful interpretation approaches of quantitative structure-activity relationship (QSAR) models, their development, and application. The evolution of the interpretation paradigm from "model → descriptors → (structure)" to "model → structure" is indicated. The latter makes all models interpretable regardless of machine learning methods or descriptors used for modeling. This opens wide prospects for application of corresponding interpretation approaches to retrieve structure-property relationships captured by any models. Issues of separate approaches are discussed as well as general issues and prospects of QSAR model interpretation.
A way to legalization results of Quantitative Structure – Activity Relationships (QSAR) models is described. A basic impulse has come from OECD followed by the other countries of the world. Final tool, QSAR Application Tool Box, has been developed and as an open system will be developed in the future, too.
Halogenated aliphatic compounds were evaluated for toxic and genotoxic effects in the somatic mutation and recombination test employing Drosophila melanogaster. The tested chemicals included chlorinated, brominated and iodinated; mono-, di- and tri-substituted; saturated and unsaturated alkanes: 1,2-dibromoethane, 1-bromo-2-chloroethane, 1-iodopropane, 2,3-dichloropropene, 3-bromo-1-propene, epibromohydrin, 2-iodobutane, 3-chloro-2-methylpropene, 1,2,3-trichloropropane, 1,2-dichloroethane, 1,2-dichlorobutane, 1-chloro-2-methylpropane, 1,3-dichloropropane, 1,2-dichloropropane, 2-chloroethymethylether, 1-bromo-2-methylpropane and 1-chloropentane. N-methyl-N-nitrosourea served as the positive and distilled water as the negative control. The set of chemicals for the toxicological testing was selected by the use of statistical experiment design. Group of unsaturated aliphatic hydrocarbons were generally more toxic than saturated analogues. The genotoxic effect was observed with 14 compounds in the wing spot test, while 3 substances did not show any genotoxicity by using the wing spot test at 50% lethal concentration. The highest number of wing spots was observed in genotoxicity assay with 1-bromo-2-chloroethane, 1,2-dichloroethane, 1,2-dibromoethane and 1-iodopropane. Nucleophilic superdelocalizability calculated by quantum mechanics appears to be a good parameter for prediction of both toxicity and genotoxicity effects of halogenated aliphatic compounds.
- MeSH
- Drosophila melanogaster genetics drug effects MeSH
- Financing, Organized MeSH
- Hydrocarbons, Halogenated chemistry toxicity MeSH
- Quantitative Structure-Activity Relationship MeSH
- Mutation drug effects MeSH
- Mutagens chemistry toxicity MeSH
- Mutagenicity Tests methods MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
Inhibition of photosynthetic electron transport (PET) in spinach chloroplasts by sixty-one ring-substituted N-benzylsalicylamides was investigated. The inhibitory potency of the compounds expressed by IC50 value varied from 2.0 to 425.3 μmol/L. Several evaluated compounds can be considered as effective PET inhibitors; these include N-(3,4- dichlorobenzyl)-2-hydroxy-5-nitrobenzamide (IC50 = 2.0 μmol/L), 3,5-dibromo-N-(3,4-dichlorobenzyl)-2-hydroxybenzamide (IC50 = 2.3 μmol/L) and 3,5-dibromo-N-(4-chlorobenzyl)-2-hydroxybenzamide (IC50 = 2.6 μmol/L) with activity comparable with that of the standard Diuron (IC50 = 1.9 μmol/L). The PET inhibiting activity increased approximately linearly with increasing lipophilicity of the compounds as well as with the increasing sum of Hammett σ constants of the substituents on the acyl fragment (R(1) = H, 5-OCH3, 5-CH3, 5-Cl, 5-Br, 5-NO2, 4-OCH3, 4-Cl, 3,5-Cl and 3,5-Br) and the benzylamide fragment (R(2) = H, 4-OCH3, 4-CH3, 4-F, 4-Cl and 3,4-Cl). Based on the evaluated structure-PET inhibiting activity relationships (QSAR) it was confirmed that the inhibitory activity of the compounds depends on lipophilicity (log P or distributive parameters π; (1) and π(2)of individual substituents) and electronic properties of the substituents on the acyl (σ(1)) and the benzylamide fragments (σ(2)), the contribution of σ(1) being more significant than that of σ(2).
- MeSH
- Models, Chemical MeSH
- Chloroplasts drug effects metabolism MeSH
- Photosynthesis drug effects MeSH
- Quantitative Structure-Activity Relationship MeSH
- Molecular Structure MeSH
- Drug Design MeSH
- Salicylamides chemical synthesis chemistry pharmacology MeSH
- Spinacia oleracea drug effects metabolism MeSH
- Electron Transport drug effects MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
