Search Results - "Erdas, Ozlem"

Experimental Assessment of the Performance of Data Augmentation with Generative Adversarial Networks in the Image Classification Problem by Karadag, Ozge Oztimur, Erdas Cicek, Ozlem

“…Deep Learning algorithms have almost become a key standard for majority of vision and machine learning problems. Despite its common usage and high performance…”
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An application of CIFAP for predicting the binding affinity of Chk1 inhibitors derived from 2‐aminothiazole‐4‐carboxamide by Konyar, Dilan, Erdas, Ozlem, Alpaslan, Ferda Nur, Buyukbingol, Erdem

“…Investigation of protein‐ligand interactions obtained from experiments has a crucial part in the design of newly discovered and effective drugs. Analyzing the…”
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Empirical evaluation of the effectiveness of variational autoencoders on data augmentation for the image classification problem by Öztimur Karadağ, Özge, Erdaş Çiçek,Ozlem

“…In the last decade, deep learning methods have become the key solution for various machine learning problems. One major drawback of deep learning methods is…”
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Compressed images for affinity prediction-2 (CIFAP-2): an improved machine learning methodology on protein-ligand interactions based on a study on caspase 3 inhibitors by Erdas, Ozlem, Andac, Cenk A, Gurkan-Alp, A Selen, Alpaslan, Ferda Nur, Buyukbingol, Erdem

“…The aim of this study is to propose an improved computational methodology, which is called Compressed Images for Affinity Prediction-2 (CIFAP-2) to predict…”
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Modeling and predicting binding affinity of phencyclidine-like compounds using machine learning methods by Erdas, Ozlem, Buyukbingol, Erdem, Alpaslan, Ferda Nur, Adejare, Adeboye

“…Machine learning methods have always been promising in the science and engineering fields, and the use of these methods in chemistry and drug design has…”
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Compressed images for affinity prediction (CIFAP): a study on predicting binding affinities for checkpoint kinase 1 protein inhibitors by Erdas, Ozlem, Andac, Cenk A., Selen Gurkan-Alp, A., Alpaslan, Ferda Nur, Buyukbingol, Erdem

“…Analyses of known protein–ligand interactions play an important role in designing novel and efficient drugs, contributing to drug discovery and development…”
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Three-Dimensional Analysis of Binding Sites for Predicting Binding Affinities in Drug Design by Erdas-Cicek, Ozlem, Atac, Ali Osman, Gurkan-Alp, A. Selen, Buyukbingol, Erdem, Alpaslan, Ferda Nur

“…Understanding the interaction between drug molecules and proteins is one of the main challenges in drug design. Several tools have been developed recently to…”
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Evaluation of the robustness of deep features on the change detection problem by Karadag, Ozge Oztimur, Erdas, Ozlem

“…Deep Learning is a method which is employed for change detection as well as other image processing problems. Output extracted from various layers of the deep…”
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Predicting the Binding Affinities of Drug-Protein Interaction by Analyzing the Images of Binding Sites by Erdaş, Özlem

“…Analysis of protein-ligand interactions plays an important role in designing safe and efficient drugs, contributing to drug discovery and development…”
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Protein-Drug Binding Analysis Using Change Detection on Binding Site Images by Erdaş, Özlem, Karadağ, Özge Öztimur

“…With the rapid increase in the amount of accessible chemical and biological data over the last decade, the use of intelligent methods in drug design and…”
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Modelling and Predicting Binding Affinity of Pcp-like Compounds Using Machine Learning Methods by Erdaş, Özlem

“…Machine learning methods have been promising tools in science and engineering fields. The use of these methods in chemistry and drug design has advanced after…”
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