0000000000188398

AUTHOR

Reisel Millan-cabrera

showing 2 related works from this author

Discrete Derivatives for Atom-Pairs as a Novel Graph-Theoretical Invariant for Generating New Molecular Descriptors: Orthogonality, Interpretation an…

2013

This report presents a new mathematical method based on the concept of the derivative of a molecular graph (G) with respect to a given event (S) to codify chemical structure information. The derivate over each pair of atoms in the molecule is defined as ∂G/∂S(vi  , vj )=(fi -2fij +fj )/fij , where fi (or fj ) and fij are the individual frequency of atom i (or j) and the reciprocal frequency of the atoms i and j, respectively. These frequencies characterize the participation intensity of atom pairs in S. Here, the event space is composed of molecular sub-graphs which participate in the formation of the G skeleton that could be complete (representing all possible connected sub-graphs) or comp…

Discrete mathematicsSteric effectsQuantitative structure–activity relationshipOrganic ChemistryComputer Science Applicationschemistry.chemical_compoundchemistryStructural BiologyComputational chemistryMolecular descriptorDrug DiscoveryPrincipal component analysisMolecular MedicineMolecular graphLinear independenceInvariant (mathematics)Linear combinationMolecular informatics
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State of the Art Review and Report of New Tool for Drug Discovery

2017

BACKGROUND There are a great number of tools that can be used in QSAR/QSPR studies; they are implemented in several programs that are reviewed in this report. The usefulness of new tools can be proved through comparison, with previously published approaches. In order to perform the comparison, the most usual is the use of several benchmark datasets such as DRAGON and Sutherland's datasets. METHODS Here, an exploratory study of Atomic Weighted Vectors (AWVs), a new tool useful for drug discovery using different datasets, is presented. In order to evaluate the performance of the new tool, several statistics and QSAR/QSPR experiments are performed. Variability analyses are used to quantify the…

Models Molecular0301 basic medicineQuantitative structure–activity relationshipMolecular StructureOrthogonality (programming)Computer scienceQuantitative Structure-Activity RelationshipGeneral MedicineState of the art reviewInformation theorycomputer.software_genreStructure-Activity Relationship03 medical and health sciences030104 developmental biologyDrug DiscoveryLinear regressionPrincipal component analysisGenetic algorithmBenchmark (computing)Data miningcomputerSoftwareCurrent Topics in Medicinal Chemistry
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