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...

To further our understanding of creating and sustaining firm competitive advantage, we need to recognize two types of contextuality within firms’ activity systems. First, the benefit of activity configurations can be contextual—while some activity configurations are generically beneficial, others gain their value only as part of particular strategies. Second, interactions among activities can b...

Multiple regression analysis is a basic statistical tool used for QSAR studies in drug design. However, there is a risk or arriving at fortuitous correlations when too many variables are screened relative to the number of available observations. In this regard, a critical distinction must be made between the number of variables screened for possible correlation and the number which actually app...