نتایج جستجو برای: molecular descriptors

تعداد نتایج: 649467  

The antioxidant properties of coumarin derivatives using the 2,2ˈ -diphenyl-1- picrylhydrazyl (DPPH) radical scavenging assay were investigated by the application of Quantitative Structure Activity Relationship (QSAR) studies. The molecular structures were optimized and submitted for the generation of quantum chemical and molecular descriptors. Genetic Function Algorithm (GFA) was employed in m...

ABSTRACT: Quantitative structure-activity relationship (QSAR) study on the piperidone-grafted mono- and bis-spirooxindole-hexahydropyrrolizines as potent butyrylcholinestrase (BuChE) inhibitors were carried out using statistical methods, molecular dynamics and molecular docking simulation. QSAR methodologies, including classification and regression tree (CART), multiple linear regression (MLR),...

Mohammad Hossein Fatemi, Zohreh Gharehchahi

In this work, quantitative structure-property relationship (QSPR) approaches were used to predict the redox potential of 42 phenolic antioxidants. The structures of all compounds optimized by the AM1 semi-empirical method and then a large number of molecular descriptors were calculated for each compound in the data set. Subsequently, stepwise multilinear regression was applied to select the mos...

Predictive quantitative structure–activity relationship was performed on the novel 4-oxo-1,4-dihydroquinoline and 4-oxo-4H-pyrido[1,2-a]pyrimidine derivatives to explore relationship between the structure of synthesized compounds and their anti-HIV-1 activities. In this way, the suitable set of the molecular descriptors was calculated and the important descriptors using the variable selections ...

Journal: :caspian journal of chemistry 0
mohammad hossein fatemi chemometrics laboratory, faculty of chemistry, university of mazandaran, babolsar, iran zohreh gharehchahi chemometrics laboratory, faculty of chemistry, university of mazandaran, babolsar, iran

in this work, quantitative structure-property relationship (qspr) approaches were used to predict the redox potential of 42 phenolic antioxidants. the structures of all compounds optimized by the am1 semi-empirical method and then a large number of molecular descriptors were calculated for each compound in the data set. subsequently, stepwise multilinear regression was applied to select the mos...

Journal: :Journal of chemical information and modeling 2005
Yegor Zyrianov

A rational design of economically cost-effective chemical libraries as well as successful data mining during a process of drug discovery employs a vast array of the molecular descriptors. Despite the huge importance of this area of the research there is still a need for the further development of the simple, intuitive, easily calculable, specific and size-invariant parameters of the molecular s...

Journal: :caspian journal of chemistry 2012
mohammad hossein fatemi zohreh gharehchahi

in this work, quantitative structure-property relationship (qspr) approaches were used to predict the redox potential of 42 phenolic antioxidants. the structures of all compounds optimized by the am1 semi-empirical method and then a large number of molecular descriptors were calculated for each compound in the data set. subsequently, stepwise multilinear regression was applied to select the mos...

Ali Baratian, Ali Tayarani, Mohammad Bagher Naghibi Sistani Mohammad Reza Saberi Zeinab Tehranizadeh

  Objective(s): A fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. Artificial neural networks (ANNs) are strong tools for predicting nonlinear functions which are used in this paper to predict binding energy. We proposed a structure that obtains binding energy using physicochemical molecular descripti...

Journal: :Marine pollution bulletin 2013
Angel Borja Mike Elliott Jesper H Andersen Ana C Cardoso Jacob Carstensen João G Ferreira Anna-Stiina Heiskanen João C Marques João M Neto Heliana Teixeira Laura Uusitalo María C Uyarra Nikolaos Zampoukas

The European Marine Strategy Framework Directive (MSFD) requires EU Member States (MS) to achieve Good Environmental Status (GEnS) of their seas by 2020. We address the question of what GEnS entails especially with regard to the level at which targets are set (descriptors, criteria, indicators), to scales for assessments (regional, sub-divisions, site-specific), and to difficulties in putting i...

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