نتایج جستجو برای: comfa

تعداد نتایج: 358  

2011
Jing Liu Yan Li Shuwei Zhang Zhengtao Xiao Chunzhi Ai

In recent years, great interest has been paid to the development of compounds with high selectivity for central dopamine (DA) D3 receptors, an interesting therapeutic target in the treatment of different neurological disorders. In the present work, based on a dataset of 110 collected benzazepine (BAZ) DA D3 antagonists with diverse kinds of structures, a variety of in silico modeling approaches...

Journal: :British journal of anaesthesia 2010
J W Sear

BACKGROUND The molecular basis of the cardiovascular effects of i.v. anaesthetics was investigated using comparative molecular field analysis (CoMFA). METHODS The cardiovascular effects, measured as changes in mean arterial pressure (MAP), compared with awake values of continuous infusions of 13 structurally diverse i.v. anaesthetics were compared at EC(50) plasma concentrations, and by deter...

2014
S. K. Patel Prakash Chandra Jha

Quantitative Structure Activity Relationship (QSAR) for tylophorine derivatives acting as Plasmodium kinases inhibitors has been developed. The proposed 2D-QSAR model was found to be statistically significant with respect to training, cross-validation, and external validation. The contribution of carbon chains with aromatic and electronegative features are found to be the most important descrip...

Journal: :Journal of medicinal chemistry 2002
Michael B Martin John M Sanders Howard Kendrick Kate de Luca-Fradley Jared C Lewis Joshua S Grimley Erin M Van Brussel Jeffrey R Olsen Gary A Meints Agnieszka Burzynska Pawel Kafarski Simon L Croft Eric Oldfield

We report the results of a comparative molecular field analysis (CoMFA) investigation of the growth inhibition of the bloodstream form of Trypanosoma brucei rhodesiense trypomastigotes by bisphosphonates. A quantitative three-dimensional structure-activity relationship CoMFA model for a set of 26 bisphosphonates having a range of activity spanning approximately 3 orders of magnitude (minimum IC...

Journal: :Journal of chemical information and modeling 2005
Hsin-Yuan Wei Keng-Chang Tsai Thy-Hou Lin

The ligand-receptor interaction between some peptidomimetic inhibitors and a class II MHC peptide presenting molecule, the HLA-DR4 receptor, was modeled using some three-dimensional (3D) quantitative structure-activity relationship (QSAR) methods such as the Comparative Molecular Field Analysis (CoMFA), Comparative Molecular Similarity Indices Analysis (CoMSIA), and a pharmacophore building met...

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