Sentence examples for comparative molecular analysis from inspiring English sources
In this work, we perform a comparative molecular analysis of black pigments found in three archaeological sites from northern Chile.
A comparative molecular analysis of the microbial community between samples obtained from the MLS revealed the microbial community was diverse.
Rigorous phenotypic controls were used to select four patients with PA with early (<12 months) recurrence and seven patients with non-recurrent PA for comparative molecular analysis.
This study was designed to investigate environmental colonisation in Algerian hospitals by carbapenem-resistant Gram-negative bacilli (GNB), including molecular characterisation of their resistance, and to perform a comparative molecular analysis between clinical and environmental strains.
We also provide examples of comparative molecular analysis of mammary tumors from MMTV-Polyoma Middle-T antigen and MMTV-wnt1 models as tools for finding clinical correlates, validating existing models and guiding the development of new genetically engineered mouse models for cancer.
The species included in the present study all belong to the Passerida, which according to comparative molecular analysis of the opsin gene sequence have U-type eyes with peak sensitivity of the VS cone at 367 nm [25], [26], which has been confirmed through microspectrometry for blue tit and blackbird [27]).
The bioactivity results were used to construct three-dimensional quantitative structure activity relationship (3D-QSAR) models using two molecular field analysis techniques: comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA).
Quantitative structure activity relationship (QSAR which encompasses several analysis methods such as comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA) [10, 11], topomerCoMFA [12] and hologram QSAR (HQSAR) [13] was widely used in drug development process.
The comparative molecular field analysis (CoMFA) and pharmacophore analysis were employed for generating the predictive models.
Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), and pharmacophore analysis were employed for generating the activity prediction models.
The comparative molecular field analysis and comparative molecular similarity analysis (CoMFA and CoMSIA, respectively) compute interaction energies in 3D grid points and then proceed by using a partial least squares fitting algorithm for pharmacophore models.
