Photo-generated transient species, such as the carbonate radical and triplet excited state natural organic matter, mediate the oxidation of pollutants in various sunlit or artificially irradiated systems. In this work, one-electron oxidation potentials for 70 nitrogen-containing compounds were computed, and literature data were used to develop quantitative structure-activity relationships (QSAR...

A quantitative structure-activity relationship model for Morita-Baylis-Hillman adducts with leishmanicidal activities was developed which correlates molecular orbital energy and dipole with percentage in the promastigote stage.

The results of the quantitative structure-property relationship (QSPR) analysis of 45 different solvent scales and 350 solvents using the CODESSA program are presented. The QSPR models for each of the scales are constructed using only theoretical descriptors. The high quality of the models (32 of the 45 give R2 > 0.90, only two have R2 < 0.82) enables direct calculation of predicted values for ...

New 2,4-disubstituted 1,5-benzodiazepine derivatives containing different functional groups have been synthesized and screened for their antibacterial activity. The 2,4-disubstituted 1,5benzodiazepine derivatives were synthesized by reacting substituted chalcones synthesized using aldol condensation with o-phenylenediamine. QSAR studies of synthesized derivatives were performed. QSAR equation s...

lazar (lazy structure-activity relationships) is a modular framework for predictive toxicology. Similar to the read across procedure in toxicological risk assessment, lazar creates local QSAR (quantitative structure-activity relationship) models for each compound to be predicted. Model developers can choose between a large variety of algorithms for descriptor calculation and selection, chemical...

Selective S1P(1) receptor agonists have therapeutic potential to treat a variety of immune-mediated diseases. A series of 2-imino-thiazolidin-4-one derivatives displaying potent S1P(1) receptor agonistic activity were selected to establish 3D-QSAR models using CoMFA and CoMSIA methods. Internal and external cross-validation techniques were investigated as well as some measures including region ...

We describe a family of kernels over untyped and typed Prolog ground terms and show that they can be applied for learning in structured domains, presenting experimental results in a QSPR task.

The computer analysis of relations between molecular structures and their biological activity using fragmentbased methods is very useful to draw conclusions for the understanding of drug action and for the development of more efficient non-toxic drug candidates. We used the computer system SARD-21 (Structure Activity Relationship & Design) to investigate common structural features (fragments an...

The determination of the validity of a QSAR model when applied to new compounds is an important concern in the field of QSAR and QSPR modeling. Various scoring techniques can be applied to specific types of models. We present a technique with which we can state whether a new compound will be well predicted by a previously built QSAR model. In this study we focus on linear regression models only...