Sentence examples for molecular level interpretation from inspiring English sources

These findings are consistent with experimental results, and give a molecular level interpretation for the reduced cytotoxicity of Vpr13-33 to some extent upon graphene exposure.

At the molecular level, interpretation of particular internal and external stimuli is determined by the concentration and activity of cellular components (such as proteins, nucleic acids, and metabolites).

The synergy of classical mechanics tools with bioinformatics methods greatly enhances the molecular-level interpretation of pulmonary surfactant action and facilitates the development of design rules for synthetic surfactant analogues.

Thus, by examining the biological pathways enriched among the feature-weights in each tissue/cell-type classifier, we are able to provide a molecular-level interpretation of URSA's predictions.

Where possible, molecular-level interpretations are provided for the structures that give rise to the functional ligand and molecular weight distributions present in the polymer scaffolds.

Many of the sequences acquired using this approach are closely related to lineages previously characterized at both morphological and molecular levels, making interpretation of these data relatively straightforward.

In particular, the necessity for providing a functional interpretation at molecular level that accounts for the genome-scale experimental designs has promoted the development of different methods for the functional analysis of this type of data in the last years [1], [2].

In this paper we propose possible interpretation at molecular level of different arrangements of the thylakoid membranes of pea (Pisum sativum L). and bean (Phaseolus vulgaris L). grown under similar controlled conditions, as a continuation of our previous studies [ 11, 12].

In particular, the necessity of providing a functional interpretation at molecular level that accounts for the macroscopic observations in high-throughput experiments has promoted the development of different methods for the functional profiling of this type of experiments during the last years [ 1, 2].

Big data mining of bacterial genomes has shown that positive selection is more widespread at the molecular level than expected under a restrictive interpretation of the neutral theory [ 3].

Because the central questions emerging from research in cellular and molecular biology require functional and mechanistic interpretations at the molecular level, computational explorations complement experiments and enrich them with mechanistic insights and new testable hypotheses.