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The goal of QSAR (quantitative structure-activity-relationship) is to establish some quantitative relationship between structural features of molecules and the biological activities of molecules [1],[2].
Curvilinear associations were found between structural features of care and family income, particularly for caregiver education and training.
The analysis of the dependence between structural features of organic polycrystals and their radioluminescence pulse characteristics is based on the results of spectra and pulse shape measurements.
In this work, we try to identify the optimal topologies for maximizing the network transmission capacity, as well as to build a clear relationship between structural features of a network and the transmission performance in terms of traffic delivery.
The results obtained furnish a link between structural features of these molecules and their photo- and cytotoxic activities to allow a design of new compounds of this class with the tuning of biological properties.
The contour plot provided a better understanding of the relationship between structural features of substituted benzofuran salicylic acid derivatives and their activities which would facilitate design of novel mPTPB inhibitors.
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The relationship between structural features (size/hydrophobicity of the side chain as well as conformation and flexibility) and biological activity, in terms of minimum inhibitory concentration, membrane permeabilization kinetics and lysis of red blood cells are discussed.
The main objective of this study is focused on the importance of motif design in transfection efficiency of rBCVs on one hand, and the assessment of correlation between structural features and functionality of motifs on the other hand.
In this paper we employ the link-node representation of water infrastructures and exploit a wide range of advanced and emerging network theory metrics and measurements to study the building blocks of the systems and quantify properties such as redundancy and fault tolerance, in order to establish relationships between structural features and performance of water distribution systems.
This would result in a negative correlation between structural features and assessment of learning outcomes, as well as negative changes in structural features over the semester.
If both explanations are valid for different students to varying extents, then we may find no (or weak) correlations between structural features and assessment of learning outcomes, as well as no (or weak) changes in structural features over the semester.
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