AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR

LO Aman, A Asnawi - arXiv preprint arXiv:2412.20011, 2024 - arxiv.org
This study aims to develop a deep learning model for predicting the binding affinity of
ligands targeting the Peroxisome Proliferator-Activated Receptor (PPAR) family, using 2D …

[HTML][HTML] Study of molecular docking and prediction of toxicity of morin analogues as anti-cancer agents and aromatase inhibitors

T Abdizadeh - Scientific Journal of Kurdistan University of Medical …, 2023 - sjku.muk.ac.ir
Materials and Methods: In this descriptive-analytical study, for bioinformatics assessment,
the 3D structure of morin analogues (15 compounds), the standard drug (anastrozole) and …