Lalehan Oktay

Targeting miRNA for Colorectal Cancer: In Silico Identification and Physics-based De Novo Modeling of Oncogenic miR-135b for Small Molecule RNA Therapy

The paper identifies miR-135b as a differentially expressed miRNA in colorectal cancer and models small molecule ligands targeting its Dicer cleavage site using computational methods.

Utilizing Heteroatom Types and Numbers from Extensive Ligand Libraries to Develop Novel hERG Blocker QSAR Models Using Machine Learning-based Classifiers

This study develops machine learning-based QSAR models to identify key heteroatoms in hERG blockers using ligand libraries and validates findings with molecular docking and simulations.