Journal Article

·2020 OPEN ACCESS

QUANTUM CHEMICAL STUDY FOR THE TOXICITY PREDICTION OF SULFONAMIDE ANTIBIOTICS WITH QUANTITATIVE STRUCTURE – ACTIVITY RELATIONSHIP

Şeyda Aydoğdu YTU , Arzu Hatipoğlu YTU

Latin American Applied Research - An international journal

Abstract

Sulfonamides are one of the most important classes of chemicals found in the aquatic environment as a pollutant due to excessive consumption. The DFT- B3LYP method with the basis set 6-311++G (d,p) was employed to calculate various quantum chemical descriptors of sulfonamide molecules. A quantitative structure activity relationship (QSAR) study was performed for the toxicity value LD50 of sulfonamides with their quantum chemical descriptors by multi linear regression. The QSAR models were validated by internally and externally. The best multilinear equation with correlation coefficient, R and the cross-validation leave-one-out correlation coefficient, Q2 values were 0.9528 ,0.8556 respectively The results show that the QSAR models have both favourable estimation stability and good prediction power.

Keywords

Quantitative structure–activity relationship Sulfonamide Multilinear map Quantum chemical Correlation coefficient Linear regression Chemistry Biological system Computational chemistry Aquatic toxicology Molecule Mathematics Toxicity Stereochemistry Statistics Organic chemistry Biology

Subject Areas

Computational Drug Discovery Methods ·Computational Theory and Mathematics ·Physical Sciences
Chemistry and Chemical Engineering ·Environmental Chemistry ·Physical Sciences
Free Radicals and Antioxidants ·Organic Chemistry ·Physical Sciences

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