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Hai Pham-The

Researcher at Hanoi University

Publications -  41
Citations -  590

Hai Pham-The is an academic researcher from Hanoi University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 12, co-authored 33 publications receiving 383 citations. Previous affiliations of Hai Pham-The include Central University, India.

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Provisional Classification and in Silico Study of Biopharmaceutical System Based on Caco-2 Cell Permeability and Dose Number

TL;DR: It is anticipated that a combination of the QSPR approach and well-validated in vitro experimentations could offer the best estimation of BCS for NMEs in the early stages of drug discovery.
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QuBiLS - MAS , open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations

TL;DR: The present manuscript introduces the QuBiLS-MAS software, a standalone software designed to compute topological molecular descriptors based on bilinear, quadratic and linear algebraic forms for atom- and bond-based relations, which yields similar-to-superior performance with regard to other QSAR methodologies reported in the literature.
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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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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.