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.
This structure activity relationship analysis was further supported by an analysis in which the structures of tubulin and BsFtsZ were superimposed on each other to obtain a clear view of a probable paclitaxel binding site on FtsZ.
It is noteworthy that neither of the genetic variants subjected to the evolutionary relationship analysis was placed in vicinity of the avian-originating, European, swine A/H1N1 lineage, to which all of the isolates were assigned after genotyping using MRT-PCR.
inSARa (intuitive networks for Structure-Activity-Relationships analysis) was primarily developed with the objective to support the medicinal chemist in tackling SAR analysis and visualization of large data sets in a more intuitive way than fingerprint-based approaches [1].
Protein Analysis THrough Evolutionary Relationships (PANTHER) analysis was performed with PUM1 and PUM2 mRNA targets (unique transcripts with 5% FDR) at http://www.pantherdb.org/ [46].
Similarly, the multiplicative data relationship (MDR) analysis was established as a first-time contribution in accident forecasting literature.
