Over the last 20 years, extensive QSAR studies establish an attractive approach to the elucidation of the modern drug chemistry. In the recent years, constant increase in the performance of hardware and software transformed quantitative structure activity relationship (QSAR) and quantitative structure property relationship (QSPR) into powerful and widely used model for the prediction of many bi...

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...

1-[4-(2-Alkylaminoethoxy)phenylcarbonyl]-3,5-bis(arylidene)-4-piperidones are a novel class of potent cytotoxic agents. These compounds demonstrate low micromolar to submicromolar IC50 values against human Molt 4/C8 and CEM T-lymphocytes and murine leukemia L1210 cells. In this study, a comparative QSAR investigation was performed on a series of 3,5-bis(arylidene)-4-piperidones using different ...

A number of known antifungal pyrrole derivatives and some newly synthesized compounds (5-33) were tested in vitro against Mycobacterium tuberculosis CIP 103471. The majority of tested compounds were efficient antimycobacterial agents showing MIC values ranging from 0.5 to 32 microg/mL. A 3-D-QSAR study has been performed on these pyrrole derivatives to correlate their chemical structures with t...

Quantitative structure-activity relationship (QSAR) studies are useful computational tools often used in drug discovery research and in many scientific disciplines. In this study, a robust fragment-similarity-based QSAR (FS-QSAR) algorithm was developed to correlate structures with biological activities by integrating fragment-based drug design concept and a multiple linear regression method. S...

Several QSAR models have been developed using a linear optimization approach that enabled distinguishing metabolic substances isolated from human-, bacterial-, plant- and fungal- cells. Seven binary classifiers based on a k-Nearest Neighbors method have been created using a variety of 'inductive' and traditional QSAR descriptors that allowed up to 95% accurate recognition of the studied groups ...

Farnesyltranseferase inhibitors (FTIs) are one of the most promising classes of anticancer agents, but though some compounds in this category are in clinical trials there are no marketed drugs in this class yet. Quantitative structure activity relationship (QSAR) models can be used for predicting the activity of FTI candidates in early stages of drug discovery. In this study 192 imidazole-conta...

objective(s): the structure- activity relationship of a series of 36 molecules, showing l-type calcium channel blocking was studied using a qsar (quantitative structure–activity relationship) method. materials and methods: structures were optimized by the semi-empirical am1 quantum-chemical method which was also used to find structure-calcium channel blocking activity trends. several types of d...

Histamine H3 receptor subtype has been the target of several recent drug development programs. Quantitative structure-activity relationship (QSAR) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. The aim of this study was to compare the predictive powers of three different QSAR techniques, namely, multiple linear regression (MLR)...

This study concentrates on the external validation of an existing Quantitative Structure-Activity Relationship (QSAR) model widely used for long-term aquatic toxicity to fish. In the context of the REACH legislation, QSARs are used as an alternative for experimental data to achieve a complete environmental assessment without the need for animal testing. The predictivity of the model was evaluat...