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Huong Le-Thi-Thu

Researcher at Vietnam National University, Hanoi

Publications -  42
Citations -  540

Huong Le-Thi-Thu is an academic researcher from Vietnam National University, Hanoi. The author has contributed to research in topics: Quantitative structure–activity relationship & Linear discriminant analysis. The author has an hindex of 13, co-authored 37 publications receiving 417 citations. Previous affiliations of Huong Le-Thi-Thu include Central University, India & Vietnam National University, Ho Chi Minh City.

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Organ and tissue-dependent effect of resveratrol and exercise on antioxidant defenses of old mice

TL;DR: The data suggest that physical activity and resveratrol may be of great importance for the prevention of age-related diseases, but that their organ-dependent effect must be taken into consideration to design a better intervention.
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The Use of Rule-Based and QSPR Approaches in ADME Profiling: A Case Study on Caco-2 Permeability.

TL;DR: The 3PRule and consensus model developed here can be used in early ADME profiling and is very useful to improve assay design and prioritize the high absorption candidates.
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Tyrosinase Enzyme: 1. An Overview on a Pharmacological Target

TL;DR: An approximation to general aspects related to this enzyme is made, which is treated the researches that have been published in the part of the biochemical anatomy dealing with diseases associated with this protein (melanogenesis), its active place and its physiological states, the molecular mechanism, the methods carried out to detect the inhibitory activity, and the used substrates.
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees.

TL;DR: A model that describes the passage of molecules through the blood-brain barrier using classification trees would be a valuable tool in the early stages of drug discovery process of neuropharmaceuticals.
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In Silico Assessment of ADME Properties: Advances in Caco-2 Cell Monolayer Permeability Modeling.

TL;DR: The recent advances and limitations of current modeling approaches are summed up, some possible solutions to improve the applicability of in silico Caco-2 permeability models for absorption property profiling are revealed, taking into account the above-mentioned issues.