new statistic based models provide a wide area of prediction equipments for different science areas. among these fields biology have just entered the contest of interdisciplinary sciences. drug discovery is a long and expensive process which could be decreased with theoretical approaches. in this study, 500 reported assayed anti cancer molecules were extracted from science direct articles, sket...

Different kinds of Local Vertex Invariants (LOVIs) derived from vertex degrees were reviewed and investigated by comparison. Novel LOVIs, based on a multiplicative form of some vertex degrees defined in literature were also proposed. A data set comprised of 730 diverse molecules with 383 different atom types was used to study similarity/diversity of 17 different LOVIs by Principal Component Ana...

The rapidly increasing amount of publicly available data in biology and chemistry enables researchers to revisit interaction problems by systematic integration and analysis of heterogeneous data. Herein, we developed a comprehensive python package to emphasize the integration of chemoinformatics and bioinformatics into a molecular informatics platform for drug discovery. PyDPI (drug-protein int...

In this study, the relationships between the brain-blood concentration ratio of 96 structurally diverse compounds with a large number of structurally derived descriptors were investigated. The linear models were based on molecular descriptors that can be calculated for any compound simply from a knowledge of its molecular structure. The linear correlation coefficients of the models were optimiz...

Introduction: Taxoids, groups of diterpenoid cyclodecanes isolated from the genus Taxus, are known and used as anticancer agents. Starting from the successful results obtained by an original molecular descriptors family on structure-activity relationships (Jäntschi and Bolboacă, 2007), the aim of the research was to investigate and to assess the estimation and prediction abilities of this appro...

A quantitative structure activity relationship analysis was applied to a library of 51 benzylacetamide derivatives with anticonvulsant activity. The molecular structures of 51 compounds were optimized with the Semiempirical Method PM6 (Parametric Method-6) included in the MOPAC2009 software. The optimized structures of all the examined compounds were represented by 1497 DRAGON-type descriptors....

We present an algorithm to compute molecular graph descriptors considering the stereochemistry of the molecular structure based on our previously introduced signature molecular descriptor. The algorithm can generate two types of descriptors, one which is compliant with the Cahn-Ingold-Prelog priority rules, including complex stereochemistry structures such as fullerenes, and a computationally e...

The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an original methodology that uses the complex structural information of the compounds. Two models were built. The methodology allows atomic properties to be assigned to toxicity based on the selection of pairs of descriptors from the entire family, which is called Molecular Descriptors Family (MDF). One...

A structure-activity relationships based on an original molecular descriptors family method has been developed and applied on a sample of substituted 1,3,4thiadiazoleand 1,3,4-thiadiazoline-disulfonamides. Forty compounds were studied for their inhibition activity on carbonic anhydrase I. The molecular descriptors family was generated based on complex information obtained from compounds structu...