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In parallel, we apply the framework to highlight the mechanistic interaction of network components that remain "stable" across task domains and more "flexible" components associated with on-task reconfiguration.
Additional investigations are necessary to understand the specific mechanistic interaction of TNF-α and Notch3 signaling in response to ozone.
Together these expression changes provided the rationale to further examine the biological consequences and the potential mechanistic interaction of the HER-2 and TGF-β signaling pathways in MCF-7 cells and in additional cell line models.
As in the anti-Darwinian orthogenetic theories of evolution, the first of which was advanced by St. George Jackson Mivart in the 19th century [47, pp.55-56], an upward, diversifying force is inherent in the material in question rather than being a consequence of the mechanistic interaction of parts, but Smuts wanted his principle to apply to the entire universe and not just biological organisms.
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Descartes radically reconceptualized the problem by his dualism of matter and mind; life was a problem for which an explanation was to be sought in the mechanistic interactions of matter, and there was the question of how mind was related to the matter in living beings.
Signaling pathway dynamics are typically captured on the time scale of seconds to minutes to investigate the mechanistic interactions of pathway components.
Data suggest that cisplatin might share synergism with gemcitabine, possibly due to the multiple mechanistic interactions of the two drugs; for example, gemcitabine increases tumour Pt retention and Pt-DNA adduct levels (van Moorsel et al, 2000).
In this study, we observe Th17 specific transcription factor dynamics through time-course mRNA data (RNA-seq measurements) and use objective computational tools to learn the mechanistic interactions of the key transcription factors.
The stochastic computational model simulates the interaction of auxin at a molecular scale and, by analysing the gross movement of auxin from one compartment to the next, allows us to determine auxin dynamics at the tissue scale based on the mechanistic interactions of auxin at the molecular scale.
To investigate these questions and predict the impact on LDLc of treatment with RG7652, a fully human monoclonal antibody antagonizing PSCK9 activity, we have developed a quantitative systems pharmacology (QSP) model of the mechanistic interaction and cross-regulation of LDLc, LDLR, and PCSK9 in health and dyslipidemic disease, including statin and anti-PCSK9 mechanisms of action and effects.
We have developed a QSP model of the mechanistic interaction and cross-regulation of LDLc, LDLR, and PCSK9 in dyslipidemic disease and used it to predict anti-PCSK9 mAb induced reduction in LDLc in subjects with and without statin background therapy and in hypercholesterolemic subjects.
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