Structural Characterization and Acute Toxicity Prediction of Substituted Aromatic Compounds by Using Molecular Vertexes Correlative Index

A molecular structural characterization (MSC) method called molecular vertexes correlative index (MVCI) was used to describe the structures of 30 substituted aromatic compounds. Through multiple linear regression (MLR) and stepwise multiple regression (SMR), a quantitative structure-toxicity relationship (QSTR) model with 4 variables was obtained. The correlation coefficient (R) of the model was 0.9467. Through partial least-squares regression (PLS), another QSTR model with 5 principal components was obtained. The correlation coefficient (R) of the model was 0.9518. Both models were evaluated by performing the cross-validation with the leave-one-out (LOO) procedure and the Cross-Validation (CV) correlation coefficients (RCV) were 0.9208 and 0.9214, respectively. The results suggested good stability and predictability of the models, and the molecular vertexes correlative index could successfully describe the structures of the substituted aromatic compounds.     

Estimation of n-Octanol/water Partition Coefficients （lgKow） and the Aqueous Solubility （-lgSw） of all PCDF Congeners by Density Functional Theory

1 INTRODUCTION As is widely known, PCDFs together with poly- chlorinated dibenzo-p-dioxins (PCDDs) and poly- chlorinated biphenyls (PCBs) have been included in many blacklists, such as “persistent organic pol- lutants (POPs)” and suspected “environmental en- docrine disruptors (EEDs)”. This is because PC- DFs are chemically and thermally stable and com- plex PCDF mixtures are generally resistant to bio- degradation. Although the concentration of these chemicals is quite low o…     

Quantitative Correlation of the Acute Toxicity of Phenylthio-carboxylates with Their Structural and Thermodynamic Parameters by DFT Calculation

1 INTRODUCTION As industrial raw materials and pesticide, thio-ether, sulfoxide and sulfone have been used moreand more extensively. On the other hand, they havealso attracted chemists’ much attention due to theirpotential environmental hazards. Quantitative struc-ture-activity relationship (QSAR) is an effective me-thod evaluating the hazards of organic chemicals[1].QSAR equation could be employed to forecast thebiological activity of unknown compounds, which issignificant for initia…     

Correlation of Quantitative Structure and Inhibition Phytotoxicity for Aromatic Compounds Using Ab Initio Method

1 INTRODUCTION Quantitative structure-activity relationship (QSAR) is one of the necessary methods to evaluate the ha- zards of organic chemicals. QSAR equation could be employed to forecast the biological activity of un- known compounds, which is significant for initial screening and evaluation of toxic compounds[1]. Aro- matic compounds are toxic organic compounds with relatively low water solubility, and their structure- activity relationship has been investigated with AM1 method[2]…     

Quantitative Correlation of Chromatographic Retention and Acute Toxicity for Alkyl（1- phenylsulfonyl） Cycloalkane Carboxylates and Their Structural Parameters by DFT

1 INTRODUCTION Quantitative structure-activity relationship (QSAR)is one of the necessary methods that could be emp- loyed to evaluate the hazards of organic chemicals. QSAR equation could be applied to predict the biological activity of unknown compounds, espe- cially for initial screening and evaluation of toxic compounds[1]. Moreover, the quantitative relation- ship between molecular structure and chromatogra- phic retention (capacity factor lgKW) could also bedeveloped to explain …