http://socictopen.socict.org/files/original/b0d31c8b1e7cfadacf2ffd7a54b81acb.pdf d47e656bf840b1cfd49c6f84361f1dc6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Recording Evolution Supervised by a Genetic Algorithm for Quantitative Structure-Activity Relationship Optimization Creator An entity primarily responsible for making the resource Lorentz JÄNTSCHI, Sorana D. BOLBOACA, Radu E. Sestraş Description An account of the resource A genetic algorithm for structure-activity relationships optimization was developed and implemented. The genetic algorithm was designed to be feed with families of molecular descriptors, and was tested on Molecular Descriptors Family. The objective of the genetic algorithm was to optimize the multiple linear regressions with four descriptors for prediction of octanol-water partition coefficient (expressed in logarithmic scale) of a series of 206 polychlorinated biphenyls. Relevant factors for evolution were parameterized in the implementation of the evolutionary program. The configuration file allows running of the genetic algorithm under different settings of parameters. The defined parameters were parameters used to characterize the adaptation to the environment (three parameters), to characterize the breading sample (four), the reproduction (four), the evolution objective (two), the selection (ten), the survival (four), and the program execution (three). Date A point or period of time associated with an event in the lifecycle of the resource 2010 Subject The topic of the resource Simulating evolution, genetic algorithms (GAs), Structure-Activity Relationships (SARs), Multiple Linear Regressions (MLRs) Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Applied Medical Informatics Publisher An entity responsible for making the resource available Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Computer applications to medicine. Medical informatics Language A language of the resource EN