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An Epistemological Analysis of QSPR/QSAR Models

2011
Computer sciences have deeply changed the way by which we make science or produce knowledge. With the era of computers and the development of computer science, quantum chemists were among the first scientists to explore the potentialities of the new tool, and even to collaborate in its development.
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QSPR Analysis of Boiling Point of Chemical Compounds

2002
A selected data mining methods have been developed to model the relationships between the structure of organic compounds and their properties. Molecular graph descriptors represent valuable structural descriptors that can be used with success in developing QSPR model. In this study we have used: four valance molecular connectivity indices (1χv, 2χv,3χv,
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Global Performance and Trend of QSAR/QSPR Research: A Bibliometric Analysis

Molecular Informatics, 2014
AbstractA bibliometric analysis based on the Science Citation Index Expanded was conducted to provide insights into the publication performance and research trend of quantitative structure‐activity relationship (QSAR) and quantitative structure‐property relationship (QSPR) from 1993 to 2012.
Li, Li, Jianxin, Hu, Yuh-Shan, Ho
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A note on QSPR analysis of total Zagreb and total Randić İndices of octanes

2021
Topological indices are important tools for QSPR researches. Wiener, Zagreb, and Randic indices are pioneers of topological indices as the most used topological indices in view of chemistry and chemical graph theory. These three topological indices have been used for modeling physical properties of octanes and other chemical molecules.
Cancan, Murat   +5 more
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QSPR analysis of the toxicity of aromatic compounds to the algae (Scenedesmus obliquus)

Chemosphere, 2007
The quantitative structure-property relationship (QSPR) model was developed for the 50% effective inhibition concentration (48h - EC(50)) of 36 selected substituted benzenes for the algae Scenedesmus obliquus by the application of the Characteristic Root Index (CRI) model.
Melek Türker, Saçan   +2 more
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QSPR studies of PCBs by the combination of genetic algorithms and PLS analysis

Computers & Chemistry, 2001
A hybrid approach that combines genetic algorithms (GA) with PLS analysis is proposed, and a modified cross-validation correlation coefficient (MCVR2) is used as fitness function. The method is applied to QSPR studies of PCBs, in comparison with class regression, and many better models are obtained for each property studied.
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QSPR analysis of threshold of odor for the large number of heterogenic chemicals

Molecular Diversity, 2017
Quantitative structure-property relationships for odor thresholds based on representation of the molecular structure by the simplified molecular input-line entry system were established using the CORAL software. The total set of compounds with numerical data on the so-called arithmetic odor thresholds ([Formula: see text]) was distributed into the ...
Andrey A. Toropov   +4 more
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QSPR analysis with curvilinear regression modeling and topological indices

2019
Summary: Topological indices are the real number of a molecular structure obtained via molecular graph \(G\). Topological indices are used for QSPR, QSAR and structural design in chemistry, nanotechnology, and pharmacology. Moreover, physicochemical properties such as the boiling point, the enthalpy of vaporization, and stability can be estimated by ...
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QSPR analysis for certain bio‐molecular architectures

International Journal of Quantum Chemistry
AbstractFlavonoids are known for its mechanism of antioxidant property which can prevent DNA damage. These natural products' anticancer and antiviral properties are linked to their mechanism of action. Various examinations reveals that, there will be a adjacent relationship between the molecular structure and their physicochemical properties such as ...
P. Noah Antony Daniel Renai   +2 more
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Extension of adjacency matrix in QSPR analysis

Chemometrics and Intelligent Laboratory Systems, 2023
Parikshit Das   +3 more
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