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dc.contributor.authorROMERO DURÁN, FRANCISCO J.
dc.contributor.authorNEREA, ALONSO
dc.contributor.authorOLGA, CAAMAÑO
dc.contributor.authorXERARDO, GARCÍA MERA
dc.contributor.authorYañez, Matilde
dc.contributor.authorPRADO PRADO, FRANCISCO JAVIER
dc.contributor.authorHUMBERTO, GONZALEZ DIAZ
dc.date.accessioned2018-09-14T18:41:55Z
dc.date.available2018-09-14T18:41:55Z
dc.date.issued2014
dc.identifier.issn14220067
dc.identifier.urihttp://hdl.handle.net/20.500.12249/1398
dc.description.abstractIn a multi-target complex network, the links (Lij) represent the interactions between the drug (di) and the target (tj), characterized by different experimental measures (Ki, Km, IC50, etc.) obtained in pharmacological assays under diverse boundary conditions (cj). In this work, we handle Shannon entropy measures for developing a model encompassing a multi target network of neuroprotective/neurotoxic compounds reported in the CHEMBL database.
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dc.description.provenanceMade available in DSpace on 2018-09-14T18:41:55Z (GMT). No. of bitstreams: 1 romero-duran.pdf: 1152901 bytes, checksum: 7556f6fc0c395d8ec7896eb0cf7daad9 (MD5) Previous issue date: 2014
dc.formatpdf
dc.language.isoeng
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceInternational Journal of Molecular Sciences
dc.subjectNeuroprotective agents
dc.subjectAsymmetric synthesis
dc.subjectRasagiline derivatives
dc.subjectMulti-target drugs
dc.subjectMolecular information measures
dc.subjectShannon entropy
dc.subjectMarkov chains
dc.subjectMoving averages
dc.subject.classificationBIOLOGÍA Y QUÍMICA
dc.titlePrediction of Multi-Target Networks of Neuroprotective Compounds with Entropy Indices and Synthesis, Assay, and Theoretical Study of New Asymmetric 1,2-Rasagiline Carbamates.
dc.typeArtículo
dc.type.conacytarticle
dc.rights.accesopenAccess
dc.identificator2
dc.audiencegeneralPublic
dc.identifier.doi10.3390/ijms150917035
dc.date.revista2014
dc.number.revista15
dc.divisionBiblioteca Unidad Académica Chetumal, Santiago Pacheco Cruz


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