Gülçin TUĞCU

Position:

Academic Staff

Phone:

0 216 578 00 00 - 1592

Office:

B 729

E-Mail:

gulcin.tugcu@yeditepe.edu.tr

Time:

Full Time

Akademik

Resume

Research Interest

QSAR
Read-across
AOP
Safety assessment
In silico toxicology
Ecotoxicology

Biography

BS: Hacettepe University, Department of Mathematics, 1995

MSc: Georgia Southern University, Department of Mathematical Sciences, 2004 / Bogazici University, Institute of Environmental Sciences, 2011

PhD: Bogazici University, Institute of Environmental Sciences, 2017

Courses Given

Biostatistics

Introductory Calculus

Graduation Project I

Graduation Project II

Publications

Papers

N.O. Al-Massri, E.E. Gurdal, G. Tugcu. “In silico target prediction of 6-gingerol and similar compounds as potential anticancer agents”, FABAD Journal of Pharmaceutical Sciences, in press.
S. Mariwan Ahmed, G. Tugcu, M. Köksal. “The promising role of iNOS inhibitors in Alzheimer’s disease”, Journal of Faculty of Pharmacy of Ankara University, 48(1), 4-4, 2024. DOI: 10.33483/jfpau.1314900
N. Fjodorova, M. Novič, K. Venko, B. Rasulev, M. Türker Saçan, G. Tugcu, S. Sağ Erdem, A. P. Toropova, A. A. Toropov. “Cheminformatics and machine learning approaches to assess aquatic toxicity profiles of fullerene derivatives”, International Journal of Molecular Sciences, 24(18), 2023, 14160. DOI: 10.3390/ijms241814160
N. Fjodorova, M. Novic, K. Venko, V. Drgan, B. Rasulev, M. Türker Saçan, S. Sağ Erdem, G. Tugcu, A. P. Toropova, A. A. Toropov. “How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseases”, Computational and Structural Biotechnology Journal, 20, 2022, 913–924. DOI: 10.1016/j.csbj.2022.02.006
S. Oztan Akturk, G. Tugcu, H. Sipahi " Development of a QSAR model to predict comedogenic potential of some cosmetic ingredients", Computational Toxicology, 2021, DOI: 10.1016/j.comtox.2021.100207
G. Tugcu, F. E. Onen Bayram, H. Sipahi "In silico modeling and toxicity profiling of a set of quinoline derivatives as c-Met inhibitors in the treatment of human tumors", Turkish Journal of Pharmaceutical Sciences, 18:6, 2021, 738-743. DOI: 10.4274/tjps.galenos.2021.54815
M. Charehsaz, G. Tugcu, A. Aydin "Filling data gap for nicotinic acid, nicotinate esters and nicotinamide for the determination of permitted daily exposure by a category approach", Toxicological Research, 37, 2021, 337-344. DOI: 10.1007/s43188-020-00069-8
G. Tugcu, H. Kirmizibekmez, A. Aydın “The integrated use of in silico methods for the hepatotoxicity potential of Piper methysticum”, Food and Chemical Toxicology, 2020, 145: 111663. DOI: 10.1016/j.fct.2020.111663
F. E. Onen Bayram, S. A. A. Alradhwani, G. Tugcu, H. Sipahi, “Do we build similar molecules for comorbid diseases? Tevarud in drug design, an analysis for depression and inflammation”, ACS Medicinal Chemistry Letters, 11:2, 2020, 147-153. DOI: 10.1021/acsmedchemlett.9b00519
G. Tugcu, M. Charehsaz, A. Aydın, “Toxicological evaluation of ergocalciferol, cholecalciferol and their metabolites by a category approach”, Drug and Chemical Toxicology, 44:6, 2021, 661-667. DOI: 10.1080/01480545.2019.1650061
G. Tugcu, H. Sipahi, A. Aydın, “Application of a validated QSTR model for repurposing COX-2 inhibitor coumarin derivatives as potential antitumor agents”, Current Topics in Medicinal Chemistry, 19:13, 2019, 1121 - 1128. DOI: 10.2174/1568026619666190618143552
G. Tugcu, M. Koksal, “A QSAR study for analgesic and anti-inflammatory activities of 5-/6-acyl-3-alkyl-2-benzoxazolinone derivatives”, Molecular Informatics, 38:8-9, 2019, 1800090. DOI: 10.1002/minf.201800090
G. Tugcu, H. Sipahi, “QSPR modelling of in vitro degradation half-life of acyl glucuronides”, Xenobiotica, 49:9, 2019, 1007-1014. DOI: 10.1080/00498254.2018.1527049
A. Aydın, G. Tugcu, “Toxicological assessment of epinephrine and norepinephrine by analog approach”, Food and Chemical Toxicology, 118, 2018, 726-732. DOI: 10.1016/j.fct.2018.06.028
G. Tugcu, M. T. Saçan, “A multipronged QSAR approach to predict algal low-toxic-effect concentrations of substituted phenols and anilines”, Journal of Hazardous Materials, 344, 2018, 893-901. DOI: 10.1016/j.jhazmat.2017.11.033
G. Tugcu, M. D. Ertürk, M. T. Saçan, “On the aquatic toxicity of substituted phenols to Chlorella vulgaris: QSTR with an extended novel data set and interspecies models”, Journal of Hazardous Materials, 339, 2017, 122-130. DOI: 10.1016/j.jhazmat.2017.06.027
E. Örücü, G. Tugcu, M. T. Saçan, “Molecular structure-adsorption study on current textile dyes”, SAR and QSAR in Environmental Research, 25:12, December 2014, 983-998. DOI: 10.1080/1062936X.2014.976266
G. Tugcu, H. B. Yilmaz, M. T. Saçan, “Comparative performance of descriptors in a Multiple Linear and Kriging Models: A case study on the acute toxicity of organic chemicals to algae”, Environmental Science and Pollution Research, 20, 2014, 11924-32. DOI: 10.1007/s11356-014-3182-3
G. Tugcu, M. T. Saçan, M. Vracko, M. Novic, N. Minovski, “QSTR modelling of the acute toxicity of pharmaceuticals to fish”, SAR and QSAR in Environmental Research, 23:3–4, 2012, 297–310. DOI: 10.1080/1062936X.2012.657678

Book Chapter

E. Caliskan, G. Tugcu, S. Önlü, M. Türker Saçan, “Ecotoxicological QSAR modeling and fate estimation of pharmaceuticals”, In: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development. Ed: K. Roy. Academic Press, London, UK, 2023. ISBN: 978-0-443-18638-7
G. Tugcu, H. Sipahi, M. Charehsaz, A. Aydın, M. Türker Saçan, “Computational toxicology of pharmaceuticals”, In: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development. Ed: K. Roy. Academic Press, London, UK, 2023. ISBN: 978-0-443-18638-7
M. Türker Saçan, S. Önlü, G. Tugcu, “Chemometric Modeling of Algal Toxicity”, In: Chemometrics and Cheminformatics in Aquatic Toxicology. Ed: K. Roy. Pages: 275-291, John Wiley and Sons Ltd, Hoboken, USA, 2021. ISBN: 978-1-119-68159-5
G. Tugcu, S. Önlü, A. Aydin, M. T. Saçan, “Read-Across for Regulatory Ecotoxicology”, In: Ecotoxicological QSARs. Ed: K. Roy. Pages 289-304, Humana, New York, NY, 2020. Online ISBN: 978-1-0716-0150-1

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