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Phylogenetic relationship analysis was performed, using maximum likelihood (ML) method.
This structure activity relationship analysis was in agreement with our previous study in designing neuroprotective agents [9].
The structure-activity relationship analysis was consistent with the protective effects of ligustrazine-based stilbene derivatives on damaged ECV-304 cells [26].
Predictive quantitative structure activity relationship analysis was developed for a diverse series of recently synthesized 1-aryl-tetrahydroisoquinoline analogs with anti-HIV activities in this study.
The structure activity relationship analysis was performed by the statistical software SPSS 11.5 version.
An integrative 'genotype phenotype relationship' analysis was also performed, involving the characterization of how genetic alterations affect gene products (proteins) at the molecular level.
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Similarly, the multiplicative data relationship (MDR) analysis was established as a first-time contribution in accident forecasting literature.
A 3D quantitative structure activity relationship (QSAR) analysis was performed using descriptors calculated from comparative molecular field analysis (CoMFA).
Motivated from the good agreement between experiments and simulations, a quantitative structure property relationship (QSPR) analysis was performed.
Quantitative structure-retention relationship (QSRR) analysis was performed in order to identify molecular descriptors with the highest influence on k and ANN(k) model was selected as optimal.
Quantitative structure activity relationship (QSAR) analysis was performed on a series of 1,3-diaryl-4,5,6,7-tetrahydro-2H-isoindole for their cyclooxygenase-2 (COX-2) inhibition.
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