6533b856fe1ef96bd12b3240
RESEARCH PRODUCT
Periodic Classification of Local Anaesthetics (Procaine Analogues)
Francisco TorrensGloria Castellanosubject
Rank (linear algebra)Periodic table (large cells)principal component analysisperiodic tableCatalysisInorganic ChemistryCombinatoricslcsh:ChemistryOrder (group theory)procaine analogue.Physical and Theoretical Chemistrylocal anaestheticMolecular Biologylcsh:QH301-705.5SpectroscopyEquipartition theoremMathematicsConjectureEntropy productionOrganic Chemistryinformation entropyGeneral MedicineComposition (combinatorics)periodic lawComputer Science Applicationsperiodic propertyStatistical classificationclassificationlcsh:Biology (General)lcsh:QD1-999equipartition conjecturecluster analysisdescription
Algorithms for classification are proposed based on criteria (information entropyand its production). The feasibility of replacing a given anaesthetic by similar ones in thecomposition of a complex drug is studied. Some local anaesthetics currently in use areclassified using characteristic chemical properties of different portions of their molecules.Many classification algorithms are based on information entropy. When applying theseprocedures to sets of moderate size, an excessive number of results appear compatible withdata, and this number suffers a combinatorial explosion. However, after the equipartitionconjecture, one has a selection criterion between different variants resulting fromclassification between hierarchical trees. According to this conjecture, for a given charge orduty, the best configuration of a flowsheet is the one in which the entropy production is mostuniformly distributed. Information entropy and principal component analyses agree. Theperiodic law of anaesthetics has not the rank of the laws of physics: (1) the properties ofanaesthetics are not repeated
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-01-31 | International Journal of Molecular Sciences |