0000000000412159

AUTHOR

Yunaimy Díaz

showing 2 related works from this author

Bond-extended stochastic and nonstochastic bilinear indices. I. QSPR/QSAR applications to the description of properties/activities of small-medium si…

2010

Bond-extended stochastic and nonstochastic bilinear indices are introduced in this article as novel bond-level molecular descriptors (MDs). These novel totals (whole-molecule) MDs are based on bilinear maps (forms) similar to use defined in linear algebra. The proposed nonstochastic indices try to match molecular structure provided by the molecular topology by using the kth Edge(Bond)-Adjacency Matrix (Ek, designed here as a nonstochastic E matrix). The stochastic parameters are computed by using the kth stochastic edge-adjacency matrix, ESk, as matrix operators of bilinear transformations. This new edge (bond)-adjacency relationship can be obtained directly from Ek and can be considered li…

Quantitative structure–activity relationshipChemistryBilinear interpolationCondensed Matter PhysicsAtomic and Molecular Physics and Opticschemistry.chemical_compoundsymbols.namesakeComputational chemistryPolarizabilityMolecular descriptorLinear regressionLinear algebrasymbolsApplied mathematicsMolecular graphPhysical and Theoretical Chemistryvan der Waals forceInternational Journal of Quantum Chemistry
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tomocomd-camps and protein bilinear indices - novel bio-macromolecular descriptors for protein research: I. Predicting protein stability effects of a…

2010

Descriptors calculated from a specific representation scheme encode only one part of the chemical information. For this reason, there is a need to construct novel graphical representations of proteins and novel protein descriptors that can provide new information about the structure of proteins. Here, a new set of protein descriptors based on computation of bilinear maps is presented. This novel approach to biomacromolecular design is relevant for QSPR studies on proteins. Protein bilinear indices are calculated from the kth power of nonstochastic and stochastic graph–theoretic electronic-contact matrices, and , respectively. That is to say, the kth nonstochastic and stochastic protein bili…

Quantitative structure–activity relationshipProtein structureLinear regressionStability (learning theory)Bilinear interpolationCell BiologySegmented regressionRepresentation (mathematics)Linear discriminant analysisBiological systemMolecular BiologyBiochemistryMathematicsFEBS Journal
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