A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithm coupling adaptive Neuro-Fuzzy inference system (ANFIS)

Somaieh Afiuni-Zadeh; Gholamhassan Azimi; Somi Afiuni

A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithm coupling adaptive Neuro-Fuzzy inference system (ANFIS)

Somaieh Afiuni-Zadeh, Gholamhassan Azimi, Somi Afiuni

Medical School - Twin Cities Campus

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Analytical Sciences
Volume	26
State	Published - 2010

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@article{4f082e1748b8480b8db5d074f27a7c95,

title = "A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithm coupling adaptive Neuro-Fuzzy inference system (ANFIS)",

author = "Somaieh Afiuni-Zadeh and Gholamhassan Azimi and Somi Afiuni",

year = "2010",

language = "English",

volume = "26",

journal = "Analytical Sciences",

issn = "0910-6340",

publisher = "Japan Society for Analytical Chemistry",

}

TY - JOUR

T1 - A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithm coupling adaptive Neuro-Fuzzy inference system (ANFIS)

AU - Afiuni-Zadeh, Somaieh

AU - Azimi, Gholamhassan

AU - Afiuni, Somi

PY - 2010

Y1 - 2010

M3 - Article

SN - 0910-6340

VL - 26

JO - Analytical Sciences

JF - Analytical Sciences

ER -