Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists

Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists


چاپ صفحه
پژوهان
صفحه نخست سامانه
چکیده مقاله
چکیده مقاله
نویسندگان
نویسندگان
دانلود مقاله
دانلود مقاله
دانشگاه علوم پزشکی تبریز
دانشگاه علوم پزشکی تبریز

نویسندگان: سیاوش دستمالچی , مریم حمزه میوه رود , طراوت غفوریان , حسین حمزه ای

کلمات کلیدی: Histamine H3 receptor; GPCR; Molecular modeling; QSAR; Docking

نشریه: , 5 , 26 , 2007

اطلاعات کلی مقاله
hide/show

نویسنده ثبت کننده مقاله سیاوش دستمالچی
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه مرکز تحقیقات بیوتکنولوژی(زیست فناوری)
کد مقاله 59389
عنوان فارسی مقاله Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists
عنوان لاتین مقاله Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists
ناشر 4
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ بلی
عنوان نشریه (خارج از لیست فوق) Journal of Molecular Graphics and Modelling
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت http://www.sciencedirect.com/science/article/pii/S1093326307000885

خلاصه مقاله
hide/show

Histamine H3 receptors are presynaptic autoreceptors found in both central and peripheral nervous systems of many species. The central effects these receptors suggest a potential therapeutic role for their antagonists in treatment of several neurological disorders such as epilepsy, schizophrenia, Alzheimer’s and Parkinson’s diseases. The purpose of this study was to identify the structural requirements for H3 antagonistic activity via quantitative structure–activity relationship (QSAR) studies and receptor modeling/docking techniques. A combination of partial least squares (PLS) and genetic algorithm (GA) was used in the QSAR approach to select the structural descriptors relevant to the receptor binding affinity of a series of 58 H3 antagonists. The descriptors were selected out of a pool of >1000 descriptors calculated by DRAGON, Hyperchem and CD labs suite of programs. The resulting QSAR models for rat and human H3 binding affinities were validated using different strategies. QSAR models generated in the current work suggested the role of charge transfer interactions in the ligand–receptor interaction verified using the molecular modeling of the receptor and docking two antagonists to the binding site. The 3D model of human H3 receptor was built based on bovine rhodopsin structure and evaluated by molecular dynamics (MD) simulation in a mixed water–vacuum–water environment. The results were indicative of the stability of the model relating the observed structural changes during the MD simulation to the suggested ligand–receptor interactions. The results of this investigation are expected to be useful in the process of design and development of new potent H3 receptor antagonists.

نویسندگان
hide/show

نویسنده نفر چندم مقاله
سیاوش دستمالچیاول
مریم حمزه میوه روددوم
طراوت غفوریانسوم
حسین حمزه ایچهارم

لینک دانلود مقاله
hide/show

نام فایل تاریخ درج فایل اندازه فایل دانلود
49.pdf1395/08/27781146دانلود