Application of Group Contribution Models to the Calculation of the Octanol−Water Partition Coefficient

Estimation of the Emission Characteristics of SVOCs from Household Articles Using Group Contribution Methods

The risk to humans from chemicals in consumer products is a function of both hazard and exposure. There is an ongoing effort to quantify chemical exposure due to household articles such as furniture and building materials. Polymers and plastic materials make up a substantial portion of these articles, which may contain chemical additives such as plasticizers. When these additives are not bound to the polymer matrix, they are free to diffuse throughout it and leach or emit from the surface. We have implemented a methodology to predict plasticizer emission from polyvinyl chloride (PVC) products, based on group contribution methods that consider a free volume effect to estimate activity coefficients for chemicals in polymer-solvent solutions. Using the estimated activity coefficients, we calculate steady-state gas phase concentrations for plasticizers in equilibrium with the polymer surface (y₀). The method uses only the structure of the chemical and polymer, the weight fraction, and physical-chemical properties, allowing rapid estimation of y₀ at different weight fractions in PVC. Using the predicted y₀ values and weight fraction data gleaned from public databases, we estimate plasticizer exposures associated with 72 PVC-containing articles using a high-throughput model. We also investigate potential exposures associated with plasticizer substitutions in these products.

Prediction of Lipophilicity of some Quinolone Derivatives by using Quantitative Structure-Activity Relationship

OBJECTIVES

Quantitative structure activity relationship (QSAR) was used to study the partition coefficient of some quinolones and their derivatives.

METHODS

These molecules are broad-spectrum antibiotic pharmaceutics. First, data were divided into two categories of train and test (validation) sets using a random selection method. Second, three approaches, including stepwise selection (STS) (forward), genetic algorithm (GA), and simulated annealing (SA) were used to select the descriptors, to examine the effect feature selection methods. To find the relation between descriptors and partition coefficient, multiple linear regression (MLR), principal component regression (PCR) and partial least squares (PLS) were used.

RESULTS

QSAR study showed that both regression and descriptor selection methods have a vital role in the results. Different statistical metrics showed that the MLR-SA approach with (r2=0.96, q2=0.91, pred_r2=0.95) gives the best outcome.

CONCLUSION

The proposed expression by the MLR-SA approach can be used in the better design of novel quinolones and their derivatives.

Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution model

A priori calculation of thermophysical properties and predictive thermodynamic models can be very helpful for developing new industrial processes. Group contribution methods link the target property to contributions based on chemical groups or other molecular subunits of a given molecule. However, the fragmentation of the molecule into its subunits is usually done manually impeding the fast testing and development of new group contribution methods based on large databases of molecules. The aim of this work is to develop strategies to overcome the challenges that arise when attempting to fragment molecules automatically while keeping the definition of the groups as simple as possible. Furthermore, these strategies are implemented in two fragmentation algorithms. The first algorithm finds only one solution while the second algorithm finds all possible fragmentations. Both algorithms are tested to fragment a database of 20,000+ molecules for use with the group contribution model Universal Quasichemical Functional Group Activity Coefficients (UNIFAC). Comparison of the results with a reference database shows that both algorithms are capable of successfully fragmenting all the molecules automatically. Furthermore, when applying them on a larger database it is shown, that the newly developed algorithms are capable of fragmenting structures previously thought not possible to fragment.

Octanol/Water Partition of Ionic Species, Including 544 Cations

[structure: see text] Partition coefficients of single ions in the octanol/water system (log P(oct)) have been assigned on the (Ph4As+, Ph4P+) = Ph4B- assumption. The log P(oct) values of Cl-, Br-, and I- ions are then used to obtain the partition coefficients of cations from partition coefficients of the neutral combination of anion and cation. Partition coefficients of 544 cations derived from 585 organic salts from the MedChem database have been studied. The contributions of the aliphatic charge N+ and aromatic charge n+ in these cations have been investigated. The results show that the contributions of N+ and n+ in different homologous series are affected by the attached functional groups and are not constant, although the effect of the central cation is constant along any given homologous series. The latter can be accounted for qualitatively and semiquantitatively by the electrostatic theory of ionic solvation of Abraham and Liszi. A number of regression equations have been established between partition coefficients of ions and partition coefficients of the corresponding neutral species. These equations can be used to estimate octanol/water partition coefficients for additional cations to about 0.5 log unit.