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Drug and Chemical Toxicology Volume 46, 2023 - Issue 5
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Research Articles

In silico QSAR modeling to predict the safe use of antibiotics during pregnancy

Feyza Kelleci Çelika Vocational School of Health Services, Karamanoğlu Mehmetbey University, Karaman, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4874-6648
ORCID Icon &
Gül Karadumana Vocational School of Health Services, Karamanoğlu Mehmetbey University, Karaman, Turkey;b Department of Mathematics, University of Texas at Arlington, Arlington, TX, USAORCID Iconhttps://orcid.org/0000-0002-2776-759X
ORCID Icon
Pages 962-971 | Received 10 Jun 2022, Accepted 09 Aug 2022, Published online: 22 Aug 2022

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Maria Vittoria Togo, Fabrizio Mastrolorito, Angelica Orfino, Elisabetta Anna Graps, Anna Rita Tondo, Cosimo Damiano Altomare, Fulvio Ciriaco, Daniela Trisciuzzi, Orazio Nicolotti & Nicola Amoroso. (2023) Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives. Expert Opinion on Drug Metabolism & Toxicology 0:0, pages 1-17.
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Articles from other publishers (5)

Hatice AKKAYA & Engin SÜMER. (2024) IN SILICO APPROACHES ON PHENYLALANINE HYDROXYLASE INHIBITOR-RELATED COMPOUNDS USED IN PARKINSON’S DISEASE TREATMENT. Ankara Universitesi Eczacilik Fakultesi Dergisi 48:2, pages 11-11.
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Gül Karaduman & Feyza Kelleci Çelik. (2024) Towards safer pesticide management: A quantitative structure-activity relationship based hazard prediction model. Science of The Total Environment 916, pages 170173.
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Gül KARADUMAN & Feyza KELLECİ ÇELİK. (2023) A MULTIVARIATE INTERPOLATION APPROACH FOR PREDICTING DRUG LD50 VALUEİLAÇ LD50 DEĞERİNİ TAHMİN ETMEK İÇİN ÇOK DEĞİŞKENLİ BİR İNTERPOLASYON YAKLAŞIMI. Ankara Universitesi Eczacilik Fakultesi Dergisi 48:1, pages 3-3.
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Gul Karaduman & Feyza Kelleci Çelik. (2023) 2D‐Quantitative structure–activity relationship modeling for risk assessment of pharmacotherapy applied during pregnancy. Journal of Applied Toxicology 43:10, pages 1436-1446.
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Feyza Kelleci̇ Çeli̇k & Gül Karaduman. (2023) Machine Learning-Based Prediction of Drug-Induced Hepatotoxicity: An OvA-QSTR Approach. Journal of Chemical Information and Modeling 63:15, pages 4602-4614.
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