نتایج جستجو برای: isida qspr

تعداد نتایج: 754  

2007

The objective of this study is to obtain comparative results that may help to improve the design and development of courses, seminars and workshops offered by the University of Havana, Cuba, and by ISIDA, Italy. The paper describes the techniques used in a comparative investigation on two groups of managers, and discusses the results obtained in examining: a) the views of the two groups on stat...

Journal: :Polycyclic Aromatic Compounds 2022

In the research of QSAR and QSPR correlations, topological indices such as Randi’c index, Zagreb ABC geometric-arithmetic index have been proposed to analyze bio-compatibility chemical compounds. Chemical graph theory is combination Chemistry Graph theory, this deals with topology mathematical study isomerism development which has applications in QSPR. article, we consider Octahedron networks f...

Journal: :Journal of chemical information and computer sciences 2001
Denise Yaffe Yoram Cohen Gabriela Espinosa Alexandre Arenas Francesc Giralt

Quantitative structure-property relationships (QSPRs) for estimating aqueous solubility of organic compounds at 25 degrees C were developed based on a fuzzy ARTMAP and a back-propagation neural networks using a heterogeneous set of 515 organic compounds. A set of molecular descriptors, developed from PM3 semiempirical MO-theory and topological descriptors (first-, second-, third-, and fourth-or...

Journal: :Journal of chemical information and computer sciences 2003
Denise Yaffe Yoram Cohen Gabriela Espinosa Alexandre Arenas Francesc Giralt

Quantitative structure-property relationships (QSPRs) for estimating a dimensionless Henry's Law constant of organic compounds at 25 degrees C were developed based on a fuzzy ARTMAP and back-propagation neural networks using a heterogeneous set of 495 organic compounds. A set of molecular descriptors developed from PM3 semiempirical MO-theory and topological descriptors (second-order molecular ...

2010
Roya Khosrokhavar Jahan Bakhsh Ghasemi Fereshteh Shiri

In the present work, support vector machines (SVMs) and multiple linear regression (MLR) techniques were used for quantitative structure-property relationship (QSPR) studies of retention time (t(R)) in standardized liquid chromatography-UV-mass spectrometry of 67 mycotoxins (aflatoxins, trichothecenes, roquefortines and ochratoxins) based on molecular descriptors calculated from the optimized 3...

Journal: :Siberian Journal of Life Sciences and Agriculture 2020

F. Dialamehpour, F. Shafiei, M. Pashm Forush

QSPR study on benzene derivatives have been made using recently introduced topological methodology. In this study the relationship between the Randic' (x'), Balaban (J), Szeged (Sz),Harary (H), Wiener (W), HyperWiener and Wiener Polarity (WP) to the thermal energy (Eth), heat capacity (CV) and entropy (S) of benzene derivatives is represented. Physicochemical properties are taken from the quant...

Journal: :Journal of chemical information and computer sciences 2003
Alan R. Katritzky Alexander A. Oliferenko Polina V. Oliferenko Ruslan Petrukhin Douglas B. Tatham Uko Maran Andre Lomaka William E. Acree

We present an extended QSPR modeling of solubilities of about 500 substances in series of up to 69 diverse solvents. The models are obtained with our new software package, CODESSA PRO, which is furnished with an advanced variable selection procedure and a large pool of theoretically derived molecular descriptors. The squared correlation coefficients and squared standard deviations (variances) r...

Journal: :Journal of Chemical Information and Computer Sciences 1996
Alan R. Katritzky Lan Mu Mati Karelson

QSPR correlation equations were developed for the prediction of the solubilities of organic gases and vapors in water. A two-parameter correlation with the squared correlation coefficient R2 ) 0.977 gives excellent predictions for 95 alkanes, cycloalkanes, alkenes, alkylarenes, and alkynes. A satisfactory description (R2 ) 0.941) of the gas solubilities of 406 organic compounds with a large str...

Journal: :Journal of chemical information and modeling 2006
Egon L. Willighagen H. M. G. W. Denissen Ron Wehrens Lutgarde M. C. Buydens

Recently, 1D NMR and IR spectra have been proposed as descriptors containing 3D information. And, as such, said to be suitable for making QSAR and QSPR models where 3D molecular geometries matter, for example, in binding affinities. This paper presents a study on the predictive power of 1D NMR spectra-based QSPR models using simulated proton and carbon 1D NMR spectra. It shows that the spectra-...

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