Targeting monoamine oxidase A: a strategy for inhibiting tumor growth with both immune checkpoint inhibitors and immune modulators
Y Ma, H Chen, H Li, Z Zhao, Q An, C Shi - Cancer Immunology …, 2024 - Springer
Monoamine oxidase A (MAOA) is a membrane-bound mitochondrial enzyme present in
almost all vertebrate tissues that catalyzes the degradation of biogenic and dietary-derived …
almost all vertebrate tissues that catalyzes the degradation of biogenic and dietary-derived …
Efficient purification of n-butanol by thermally coupled extractive distillation with mixed entrainer
C Pan, X Qiu, J Guo, Y Liu, B Feng, G Li, H Gai… - Separation and …, 2024 - Elsevier
To solve the problems of difficult separation of azeotropes and high energy consumption in
the preparation of n-butanol from the fermented mother liquor, this study focused on the …
the preparation of n-butanol from the fermented mother liquor, this study focused on the …
Abraham Model descriptors for vitamin K4: prediction of solution, biological and thermodynamic properties
S Motati, R Motati, T Kandi, WE Acree Jr - Liquids, 2023 - mdpi.com
Spectrophotometric measurements were used to determine the mole fraction solubilities of
vitamin K4 dissolved in cyclohexane, methylcyclohexane, 1-heptanol, 2-butanol, 2-pentanol …
vitamin K4 dissolved in cyclohexane, methylcyclohexane, 1-heptanol, 2-butanol, 2-pentanol …
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS
C Li, Z Li, X Liu, J Xu, C Zhang - Journal of Molecular Liquids, 2024 - Elsevier
Abstract Hansen Solubility Parameters (HSPs) have been a hot topic on predicting the
tendency of pharmaceutical cocrystals formation and cocrystal coformers (CCFs) screening …
tendency of pharmaceutical cocrystals formation and cocrystal coformers (CCFs) screening …
A Machine Learning Approach for the Prediction of Aqueous Solubility of Pharmaceuticals: A Comparative Model and Dataset Analysis
The effectiveness of drug treatments depends significantly on the water solubility of
compounds, influencing bioavailability and therapeutic outcomes. A reliable predictive …
compounds, influencing bioavailability and therapeutic outcomes. A reliable predictive …
Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Drug solubility plays an important role in the drug development process. Traditional methods
for measuring solubility involve saturating a solvent with the drug and determining the drug …
for measuring solubility involve saturating a solvent with the drug and determining the drug …