نتایج جستجو برای: quantitative structure activity relationship

تعداد نتایج: 3215994  

2013
Ravindra Kulkarni Achaiah Garlapati

Dihydrofolate reductase is known for important role in cancer and microbial diseases and hence is considered as validated target for aforementioned diseases. Three dimensional quantitative structure activity relationship studies (3D-QSAR) involving comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA) were performed using twenty two Pneumocystis carin...

Journal: :journal of the iranian chemical research 0
vali zare-shahabadi young researchers club, mahshahr branch, islamic azad university, mahshahr, iran

toxicity of 38 aliphatic carboxylic acids was studied using non-linear quantitative structure-toxicityrelationship (qstr) models. the adaptive neuro-fuzzy inference system (anfis) was used to construct thenonlinear qstr models in all stages of study. two anfis models were developed based upon differentsubsets of descriptors. the first one used log ow k and lumo e as inputs and had good predicti...

Journal: :journal of physical & theoretical chemistry 2015
fatemeh shafiei

it is well known that the chemical behavior of a compound is dependent upon the structure of itsmolecules. quantitative structure – activity relationship (qsar) studies and quantitative structure –property relationship (qspr) studies are active areas of chemical research that focus on the nature ofthis dependency. topological indices are the numerical value associated with chemical constitution...

Journal: :Journal of Chemical Information and Computer Sciences 1996
Alan R. Katritzky Lan Mu Mati Karelson

QSPR correlation equations were developed for the prediction of the solubilities of organic gases and vapors in water. A two-parameter correlation with the squared correlation coefficient R2 ) 0.977 gives excellent predictions for 95 alkanes, cycloalkanes, alkenes, alkylarenes, and alkynes. A satisfactory description (R2 ) 0.941) of the gas solubilities of 406 organic compounds with a large str...

2011
Emilio Benfenati Rodolfo Gonella Diaza Antonio Cassano Simon Pardoe Giuseppina Gini Claire Mays Ralf Knauf Ludger Benighaus

In silico models have prompted considerable interest and debate because of their potential value in predicting the properties of chemical substances for regulatory purposes. The European REACH legislation promotes innovation and encourages the use of alternative methods, but in practice the use of in silico models is still very limited. There are many stakeholders influencing the regulatory tra...

Journal: :Journal of Chemical Information and Computer Sciences 1998
Alan R. Katritzky Victor S. Lobanov Mati Karelson

We recently reported a successful correlation of the normal boiling points of 298 organic compounds containing O, N, Cl, and Br with two molecular descriptors.1 In the present study the applicability of these two descriptors for the prediction of boiling points for various other classes of organic compounds was investigated further by employing a diverse data set of 612 organic compounds contai...

Journal: :Journal of Chemical Information and Computer Sciences 1998
Alan R. Katritzky Yilin Wang Sulev Sild Tarmo Tamm Mati Karelson

The vapor pressures and the aqueous solubilities of 411 compounds with a large structural diversity were investigated using a quantitative structure-property relationship (QSPR) approach. A five-descriptor equation with the squared correlation coefficient (R2) of 0.949 for vapor pressure and a six-descriptor equation with R2 of 0.879 for aqueous solubility were obtained. All descriptors were de...

2005
David R. Lowis

.................................................................................................. 3 INTRODUCTION......................................................................................... 3 QSAR TECHNIQUES .................................................................................. 3 CALCULATION OF MOLECULAR DESCRIPTORS............................ 3 STATISTICAL GENERATION O...

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