Supported by the Scientific Research Fund of Boğaziçi University

– Toxicity Assessment of Pesticides with no Ecotoxicological Data to Freshwater Algae 2017-2019

Supported by the Scientific and Technological Research Council of Turkey (TUBITAK) and Slovenian Research Institute (ARRS):

–      In silico models for environmentally and biologically relevant endpoints, 2015-2018

–      Toxicity of binary mixtures of pharmaceuticals and industrial chemicals

–       In silico modeling of aryl hydrocarbon receptor binding affinities of a series of mixed halogenated aromatic compounds

–       Investigation of the suitability of cassava flour and algal starch on bacterial cellulose production

–       QSPR study on adsorption of textile dyes onto activated carbon

–       On the Prediction of Chlorine Consumption of Organic Molecules in Drinking Water Treatment

Supported by the Scientific Research Fund of Boğaziçi University:

• Assessment and in silico modelling of the toxicity of selected emerging pollutants to Chlorella vulgaris, 2014-2016
• Microalgal response to methyl and nitro substituted phenols, 2013
• Toxicity of chlorophenols to freshwater algae Chlorella vulgaris, 2013
• Quantitative Structure-Toxicity Relationships on toxicity of selected chemicals to fish species using linear and nonlinear techniques, 2011.
• Marine Algal Toxicity of Chlorophenols, 2009-2011.
• Multi-Species Tool for Modeling Acute Toxicity of Substituted Aromatic Compounds in Aquatic Systems, 2006-2008.
• Decolorization of Azo Dyes by Dunaliella tertiolecta, 2004-2006.
• To search for the Toxicities of Textile Dyes, 2002-2004.

Supported by the Scientific and Technological Research Council of Turkey (TUBITAK) and Slovenian Research Institute (ARRS):

• QSAR modeling of toxicity based on measured aquatic algae toxicity data, 2008-2012.

Supported by TUBITAK:

• Çeçen F, Saçan MT, Semerci N, Aktaş Ö, Yapsaklı K, and Kocamemi BA, “The behaviour of selected organic and inorganic xenobiotics in biological systems: To develop Structure-activity Relationship (SAR) Models. Supported within the scope of  “COST 636 Xenobiotics in the Urban Water Cycle” by TUBITAK,  COST-