نتایج جستجو برای: hexahydroquinoline 3 carboxamides

تعداد نتایج: 1811654  

Journal: :acta medica iranica 0
mohammad reza pourmand biotechnology research center, tehran university of medical sciences, tehran, iran. masoud yousefi department of pathobiology, faculty of public health, tehran university of medical sciences, tehran, iran. seyed alireza salami department of horticulture, faculty of agriculture, university of tehran, tehran iran. mohsen amini department of chemistry, pharmacy and pharmaceutical sciences research center, tehran university of medical sciences, tehran, iran.

staphylococcus aureus causes a wide variety of infections worldwide. methicillin-resistant s. aureus is one of most common causes of nosocomial and community acquired infections. the fluoroquinolones are an important class of antibiotics that used to treat infections caused by s. aureus. today, a significant increase in the rate of ciprofloxacin resistance in methicillin-resistant s. aureus str...

2010
ALAN R. KATRITZKY ZUOQUAN WANG SVETOSLAV SLAVOV DIMITAR A. DOBCHEV C. DENNIS HALL MAIA TSIKOLIA ULRICH R. BERNIER NATASHA M. ELEJALDE GARY G. CLARK KENNETH J. LINTHICUM

A model was developed using 167 carboxamide derivatives, from the United States Department of Agriculture archival database, that were tested as arthropod repellents over the past 60 yr. An artiÞcial neural network employing CODESSA PRO descriptors was used to construct a quantitative structure-activity relationship model for prediction of novel mosquito repellents. By correlating the structure...

Journal: :Journal of medical entomology 2010
Alan R Katritzky Zuoquan Wang Svetoslav Slavov Dimitar A Dobchev C Dennis Hall Maia Tsikolia Ulrich R Bernier Natasha M Elejalde Gary G Clark Kenneth J Linthicum

A model was developed using 167 carboxamide derivatives, from the United States Department of Agriculture archival database, that were tested as arthropod repellents over the past 60 yr. An artificial neural network employing CODESSA PRO descriptors was used to construct a quantitative structure-activity relationship model for prediction of novel mosquito repellents. By correlating the structur...

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