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Heval Atas Guvenilir
Heval Atas Guvenilir
Other namesHeval Atas, Heval Ataş, Heval Ataş Güvenilir
Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
Verified email at scai.fraunhofer.de
Title
Cited by
Cited by
Year
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
AS Rifaioglu, H Atas, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan
Briefings in bioinformatics 20 (5), 1878-1912, 2019
4042019
Learning functional properties of proteins with language models
S Unsal, H Atas, M Albayrak, K Turhan, AC Acar, T Doğan
Nature Machine Intelligence 4 (3), 227-245, 2022
952022
Crowdsourced mapping of unexplored target space of kinase inhibitors
A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ...
Nature communications 12 (1), 3307, 2021
612021
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
T Doğan, H Atas, V Joshi, A Atakan, AS Rifaioglu, E Nalbat, A Nightingale, ...
Nucleic acids research 49 (16), e96-e96, 2021
232021
Anti-cancer effect of clofazimine as a single agent and in combination with cisplatin on U266 multiple myeloma cell line
İZ Durusu, HH Hüsnügil, H Ataş, A Biber, S Gerekçi, EA Güleç, C Özen
Leukemia Research 55, 33-40, 2017
172017
Protein domain-based prediction of drug/compound–target interactions and experimental validation on LIM kinases
T Doğan, E Akhan Güzelcan, M Baumann, A Koyas, H Atas, IR Baxendale, ...
PLoS Computational Biology 17 (11), e1009171, 2021
142021
How to approach machine learning-based prediction of drug/compound–target interactions
H Atas Guvenilir, T Doğan
Journal of Cheminformatics 15 (1), 16, 2023
82023
Evaluation of methods for protein representation learning: a quantitative analysis
S Unsal, H Ataş, M Albayrak, K Turhan, AC Acar, T Doğan
bioRxiv, 2020.10. 28.359828, 2020
72020
Martin, MJ—Cetin-Atalay, R.—Atalay, V.—Dogan, T.: Recent Applications of Deep Learning and Machine Intelligence on in silico Drug Discovery: Methods, Tools and Databases
AS Rifaioglu, H Atas
Briefings in Bioinformatics 20 (5), 1878-1912, 2019
72019
Phylogenetic and other conservation-based approaches to predict protein functional sites
H Atas, N Tuncbag, T Doğan
Computational Drug Discovery and Design, 51-69, 2018
62018
CROssBAR: comprehensive resource of biomedical relations with deep learning applications and knowledge graph representations
T Doğan, H Atas, V Joshi, A Atakan, AS Rifaioglu, E Nalbat, A Nightingale, ...
bioRxiv, 2020.09. 14.296889, 2020
32020
CROssBAR: comprehensive resource of biomedical relations with network representations and deep learning
V Joshi, T Doğan, R Atalay, MJ Martin, R Saidi, H Zellner, V Volynkin, ...
22019
Anti-Cancer Effects of Clofazimine As a Single Agent and in Combination with Cisplatin in Multiple Myeloma
I Durusu, HH Husnugil, H Atas, A Biber, S Gerekci, AE Gulec, C Ozen
Blood, The Journal of the American Society of Hematology 128 (22), 5897-5897, 2016
22016
Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
A Ünlü, E Çevrim, A Sarıgün, H Çelikbilek, HA Güvenilir, A Koyaş, ...
arXiv preprint arXiv:2302.07868, 2023
2023
How to Best Represent Proteins in Machine Learning-based Prediction of Drug/Compound-Target Interactions
H Atas, T Doğan
2022
How to Approach Machine Learning-based Prediction of Drug/Compound-Target Interactions
H Atas, T Doğan
bioRxiv, 2022.05. 01.490207, 2022
2022
Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools
R Cetin-Atalay, DC Kahraman, E Nalbat, AS Rifaioglu, A Atakan, ...
Journal of Gastrointestinal Cancer 52 (4), 1266-1276, 2021
2021
Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional Sites
N Tunçbağ, T Doğan
Computational Drug Discovery and Design, 2018
2018
Repurposing of antipsychotic agent trifluoperazine for multiple myeloma treatment: in vitro studies
H Ataş
Middle East Technical University, 2016
2016
CROssBAR: Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning”, Oral presentation
M Atalay, T Doğan, R Atalay, E Nalbat, A Rifaioğlu, H Ataş, M Martin
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Articles 1–20