Deniz Cansen Kahraman

E-mail

cansen@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-3381-5463

Target-specific de novo design of drug candidate molecules with graph-transformer-based generative adversarial networks Ünlü, Atabey; Çevrim, Elif; Yiğit, Melih Gökay; Sarıgün, Ahmet; Çelikbilek, Hayriye; Bayram, Osman; Kahraman, Deniz Cansen; OLĞAÇ, ABDURRAHMAN; Rifaioglu, Ahmet Sureyya; BANOĞLU, ERDEN; Doğan, Tunca (2025-01-01) Discovering novel drug candidate molecules is a fundamental step in drug development. Generative deep learning models can sample new molecular structures from learned probability distributions; however, their practical use...
Deciphering Transcriptional Landscapes of Mild and Advanced MASLD Fibrosis: Insights into Differential Gene Expression, Pathway Enrichment, and Drug Repurposing Opportunities Nalbat, Esra; Kahraman, Deniz Cansen (2024-12-20)
Design, synthesis, and evaluation of novel Indole-Based small molecules as sirtuin inhibitors with anticancer activities. Binarci, Busra; Kilic, Ensar Korkut; Dogan, Tunca; Cetin Atalay, Rengul; Kahraman, Deniz Cansen; Nacak Baytas, Sultan (2024-11-01) Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, driven mainly by chronic hepatitis infections and metabolic disorders, which highlights the urgent need for novel therapeutic strateg...
Exploring early markers of fibrosis progression in metabolic dysfunction–associated steatotic liver disease in Turkiye Kahraman, Deniz Cansen; Sinoplu, Esra; ATALAY, RENGÜL; İDİLMAN, RAMAZAN (2024-02-17)
Design, synthesis, molecular docking studies and biological evaluation of thiazole carboxamide derivatives as COX inhibitors Hawash, Mohammed; Jaradat, Nidal; Abualhasan, Murad; ŞÜKÜROĞLU, MURAT KADİR; Qaoud, Mohammed T.; Kahraman, Deniz Cansen; Daraghmeh, Heba; Maslamani, Leen; Sawafta, Mais; Ratrout, Ala; Issa, Linda (2023-12-01) Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been the most commonly used class of medications worldwide for the last three decades. Objectives: This study aimed to design and synthesize a novel series of ...
Anti-Cancer and Anti-Stemness Action of Nonsteroidal Anti-Inflammatory Agents: A Special Focus on Hepatocellular Carcinoma Kahraman, Deniz Cansen (2023-09-10)
Disease Centric Large Scale De Novo Design of Drug Candidate Molecules with Graph Generative Deep Adversarial Networks Ünlü, Atabey; Çevrim, Elif; Sarıgün, Ahmet; Ataş, Heval; Koyaş, Altay; Çelikbilek, Hayriye; Kahraman, Deniz Cansen; Olğaç, Abdurrahman; Rifaioğlu, Ahmet Süreyya; Doğan, Tunca (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10) Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. It is especially challenging to develop new drug-based treatments for complex diseases, such as various canc...
Experimental validation of drug responses predicted by deep learning-based bioactivity models in hepatocellular carcinoma cell lines Akar, Etkin; Ozcan, Umut Onur; Mohammadvand, Navid; Doğan, Tunca; Kahraman, Deniz Cansen (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10) Hepatocellular carcinoma (HCC) is one of the deadliest cancers worldwide. Although it has high mortality rate, there are currently few drugs available as treatment options. Therefore, there is an urgent need for intensive ...
A new triazolothiadiazine derivative inhibits stemness and induces cell death in HCC by oxidative stress dependent JNK pathway activation Kahraman, Deniz Cansen; Guven, Ebru Bilget; Aytac, Peri S.; Aykut, Gamze; Tozkoparan, Birsen; Atalay, Rengul Cetin (2022-09-01) Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, and resistant to both conventional and targeted chemotherapy. Recently, nonsteroidal anti-inflammatory drugs (NSAIDs) have been shown to decrease the inciden...
Synergistic effect of sorafenib in combination with naproxen on hepatocellular carcinoma cell lines AKAR, ETKİN; Kahraman, Deniz Cansen (2022-06-23)

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