Publications by authors named "Dilan Konyar"

Background: Latest data from International Agency for Cancer Research shows that breast cancer is the leading cancer site in women and is the leading cause of death among female cancers. Induction of reactive oxygen species (ROS) and oxidative stress as a consequence of impaired balance between prooxidants and antioxidants are suggested to be involved in induction and progression of breast cancer. Cancer cells are found to exhibit higher levels of ROS compared to normal cells.

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Investigation of protein-ligand interactions obtained from experiments has a crucial part in the design of newly discovered and effective drugs. Analyzing the data extracted from known interactions could help scientists to predict the binding affinities of promising ligands before conducting experiments. The objective of this study is to advance the CIFAP (compressed images for affinity prediction) method, which is relevant to a protein-ligand model, identifying 2D electrostatic potential images by separating the binding site of protein-ligand complexes and using the images for predicting the computational affinity information represented by pIC values.

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