Publications by authors named "Materu Yuyama"
Chem Pharm Bull (Tokyo)
February 2021
Article Synopsis
- Lower urinary tract symptoms (LUTS) caused by anticholinergic drugs negatively impact patients' quality of life and prognosis.
- The study aimed to predict these side effects using quantitative structure-activity relationship (QSAR) models and docking studies with Molecular Operations Environment (MOE).
- Results showed strong predictive capabilities through partial least squares regression (PLS) and genetic algorithm-multiple linear regression (GA-MLR), suggesting these methods could assist in assessing the risk of LUTS from various anticholinergic medications.
