In this study, we developed nano-mixture QSAR models using molecular dynamic (MD) descriptors to predict the toxicity of MONPs A. fischeri .

quantitative relationships between molecular structure of forty eight aldehyde compounds with their known cathepsin k inhibitory effects were discovered by partial least squares (pls) method. evaluation of a test set of 10 compounds with the developed pls model revealed that this model is reliable with a good predictability. since the qsar study was performed on the basis of theoretical descrip...

the quantitative structure–activity relationship of a series of novel thiazoline derivatives with anticancer activity has been studied by using the density functional theory by b3lyp/ 6-31g. descriptors of quantum mechanics of 21 thiazoline derivatives with known activity were obtained. multiple linear regressions were employed to model the relationships between molecular descriptors and biolog...

BACKGROUND With the increasing development of biotechnology and informatics technology, publicly available data in chemistry and biology are undergoing explosive growth. Such wealthy information in these data needs to be extracted and transformed to useful knowledge by various data mining methods. Considering the amazing rate at which data are accumulated in chemistry and biology fields, new to...

Quantitative structure-property/activity relationships (QSPRs/QSARs) are a tool to predict various endpoints for various substances. The "classic" QSPR/QSAR analysis is based on the representation of the molecular structure by the molecular graph. However, simplified molecular input-line entry system (SMILES) gradually becomes most popular representation of the molecular structure in the databa...

a r t i c l e i n f o In the structure–activity relationship (SAR) study, a learning algorithm is usually faced with the problem of selecting a compact subset of descriptors related to the property of interest, while ignoring the rest. This paper presents a new method of molecular descriptor selection utilizing three commonly used decision tree (DT)-based ensemble methods coupled with a backwar...

the dispersibility of graphene is modeled as a mathematical function of the molecular structure of solvent represented by simplified molecular input-line entry systems (smiles) together with the graph of atomic orbitals (gao). the gao is molecular graph where atomic orbitals e.g. 1s1, 2p4, 3d7 etc., are vertexes of the graph instead of the chemical elements used as the graph vertexes in the tra...

A series of 436 Munro database chemicals were studied with respect to their corresponding experimental LD50 values to investigate the possibility of establishing a global QSAR model for acute toxicity. Dragon molecular descriptors were used for the QSAR model development and genetic algorithms were used to select descriptors better correlated with toxicity data. Toxic values were discretized in...

Structural codes vis-a-vis structural counts, like polynomials of a molecular graph, are important in computing graph-theoretical descriptors which are commonly known as topological indices. These indices are most important for characterizing carbon nanotubes (CNTs). In this paper we have computed Sadhana index (Sd) for phenylenes and their hexagonal squeezes using structural codes (counts). Sa...