AIMC Topic: Pyrimidinones

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Single-cell RNA sequencing and machine learning provide candidate drugs against drug-tolerant persister cells in colorectal cancer.

Biochimica et biophysica acta. Molecular basis of disease Jan 25, 2025
Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise from various lineages and exhibit complex dynamics. However, effectively targeting DTP cells remains challenging. We used single-cell RNA sequencing (sc...
Humans Machine Learning Colorectal Neoplasms Antineoplastic Agents Single-Cell Analysis Sequence Analysis, RNA Pyridones Drug Resistance, Neoplasm Pyrimidinones Adenomatous Polyposis Coli Organoids
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Simultaneous determination of TPN729 and its five metabolites in human plasma and urine by liquid chromatography coupled to tandem mass spectrometry.

Journal of pharmaceutical and biomedical analysis Dec 30, 2017
A specific and sensitive method was firstly developed using high performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) to simultaneously quantify TPN729 and its metabolites (TPN729-D1, TPN729-D2, TPN729M15-3 and TPN729M...
Humans Biomarkers Chromatography, Liquid Sulfonamides Chromatography, High Pressure Liquid Tandem Mass Spectrometry Pyrimidinones
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HPLC-UV method for simultaneous determination of MK-1775 and AZD-7762 in both acetonitrile-aqueous solution and mouse plasma.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Dec 30, 2016
A sensitive and precise method is described for the simultaneous determination of two small molecule kinase inhibitors: MK-1775 (MK) and AZD-7762 (AZD), in acetonitrile (ACN)-aqueous solution and in mouse plasma. A Nova-Pak C18 reversed phase column ...
Female Reproducibility of Results Animals Mice Mice, Inbred BALB C Limit of Detection Chromatography, High Pressure Liquid Solid Phase Extraction Linear Models Pyrazoles Thiophenes Urea Spectrophotometry, Ultraviolet Pyrimidines Pyrimidinones
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The ligand binding mechanism to purine nucleoside phosphorylase elucidated via molecular dynamics and machine learning.

Nature communications Jan 27, 2015
The study of biomolecular interactions between a drug and its biological target is of paramount importance for the design of novel bioactive compounds. In this paper, we report on the use of molecular dynamics (MD) simulations and machine learning to...
Humans Machine Learning Algorithms Time Factors Protein Binding Cluster Analysis Kinetics Molecular Dynamics Simulation Ligands Pyrimidinones Thermodynamics Pyrrolidines Protein Multimerization Purine-Nucleoside Phosphorylase
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