Topological indices (molecular descriptors) are numerical values of a chemical structure and represented by graph. Molecular descriptors used in QSPR/QSAR modeling to determine structure’s physical, biological, properties. The cycle graphs symmetric for any number vertices. In this paper, recently defined neighborhood degree sum-based molecular polynomials studied. NM-polynomials some cycle-rel...

objective(s): a fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. artificial neural networks (anns) are strong tools for predicting nonlinear functions which are used in this paper to predict binding energy. we proposed a structure that obtains binding energy using physicochemical molecular descriptions of the se...

New molecular descriptors, RED (Renyi entropy descriptors), based on the generalized entropies introduced by Renyi are presented. Topological descriptors based on molecular features have proven to be useful for describing molecular profiles. Renyi entropy is used as a variability measure to contract a feature-pair distribution composing the descriptor vector. The performance of RED descriptors ...

Quantitative structure-property relationships on a large set of descriptors are developed for the melting points of a large set of monoand disubstituted benzenes (443 compounds). A correlation equation including nine descriptors (R2 ) 0.8373) is reported for the whole set of compounds, and six descriptor equations are given for the subsets of ortho-, meta-, and para-substituted compounds, respe...

High-Throughput Screening (HTS) is widely used in the pharmaceutical industry to identify novel chemical starting points for drug discovery projects. The current study focuses on the relationship between molecular HTS hit rate and four common molecular descriptors: molecular lipophilicity (as described by ClogP), size (heavy atom count, HEV), degree of aromaticity content (Fsp3) and fraction of...

Time-dependent antibacterial activity of 2-furylethylenes using quantum chemical, topographic, and topological indices is described as inhibition of respiration in E. coli. A QSAR strategy based on the combination of the linear piecewise regression and the discriminant analysis is used to predict the biological activity values of strong and moderates antibacterial furylethylenes. The breakpoint...