Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies
Descripción del Articulo
In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this might not be clean in the sense that the surface of nanoparticles composed by ion...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Autónoma del Perú |
Repositorio: | AUTONOMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.autonoma.edu.pe:20.500.13067/1704 |
Enlace del recurso: | https://hdl.handle.net/20.500.13067/1704 https://doi.org/10.1109/BIBE50027.2020.00037 |
Nivel de acceso: | acceso restringido |
Materia: | Nanoparticles Surface cleaning Targeted drug delivery Surface waves Ions Wave functions Tumors https://purl.org/pe-repo/ocde/ford#2.02.04 |
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Nieto-Chaupis, Huber2022-03-03T14:01:09Z2022-03-03T14:01:09Z2020-12-16Nieto-Chaupis, H. (2020, October). Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 180-184). IEEE.978-1-7281-9574-22471-7819https://hdl.handle.net/20.500.13067/17042020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)https://doi.org/10.1109/BIBE50027.2020.00037In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this might not be clean in the sense that the surface of nanoparticles composed by ions exerts electrical interaction with charged electrically compounds around. The action to internalize the nanoparticle acquires relevance when one expects either electrical attraction or repulsion between nanoparticle and tumor or target tissue. This paper tries to model this through the concept of overlapping wave functions. The results would indicate that quantum numbers might be critic at the action of internalization.application/pdfengInstitute of Electrical and Electronics EngineersPEinfo:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/AUTONOMA180184reponame:AUTONOMA-Institucionalinstname:Universidad Autónoma del Perúinstacron:AUTONOMANanoparticlesSurface cleaningTargeted drug deliverySurface wavesIonsWave functionsTumorshttps://purl.org/pe-repo/ocde/ford#2.02.04Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategiesinfo:eu-repo/semantics/articlehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099558267&doi=10.1109%2fBIBE50027.2020.00037&partnerID=40&md5LICENSElicense.txtlicense.txttext/plain; charset=utf-885http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1704/2/license.txt9243398ff393db1861c890baeaeee5f9MD52ORIGINALProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdfProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdfVer fuenteapplication/pdf98751http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1704/3/Probabilistic%20Theory%20of%20Efficient%20Internalization%20of%20Nanoparticles%20at%20Targeted%20Drug%20Delivery%20Strategies.pdf6c42f9cf11394c3868755926a980e25fMD53TEXTProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdf.txtProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdf.txtExtracted texttext/plain591http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1704/4/Probabilistic%20Theory%20of%20Efficient%20Internalization%20of%20Nanoparticles%20at%20Targeted%20Drug%20Delivery%20Strategies.pdf.txtc88fb6626bc06dda9403748a26e708b3MD54THUMBNAILProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdf.jpgProbabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies.pdf.jpgGenerated Thumbnailimage/jpeg5812http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1704/5/Probabilistic%20Theory%20of%20Efficient%20Internalization%20of%20Nanoparticles%20at%20Targeted%20Drug%20Delivery%20Strategies.pdf.jpgcfc9dc3ec6908be93b413728647f0674MD5520.500.13067/1704oai:repositorio.autonoma.edu.pe:20.500.13067/17042022-03-04 03:00:21.687Repositorio de la Universidad Autonoma del Perúrepositorio@autonoma.pe |
dc.title.es_PE.fl_str_mv |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
title |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
spellingShingle |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies Nieto-Chaupis, Huber Nanoparticles Surface cleaning Targeted drug delivery Surface waves Ions Wave functions Tumors https://purl.org/pe-repo/ocde/ford#2.02.04 |
title_short |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
title_full |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
title_fullStr |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
title_full_unstemmed |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
title_sort |
Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies |
author |
Nieto-Chaupis, Huber |
author_facet |
Nieto-Chaupis, Huber |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nieto-Chaupis, Huber |
dc.subject.es_PE.fl_str_mv |
Nanoparticles Surface cleaning Targeted drug delivery Surface waves Ions Wave functions Tumors |
topic |
Nanoparticles Surface cleaning Targeted drug delivery Surface waves Ions Wave functions Tumors https://purl.org/pe-repo/ocde/ford#2.02.04 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
description |
In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this might not be clean in the sense that the surface of nanoparticles composed by ions exerts electrical interaction with charged electrically compounds around. The action to internalize the nanoparticle acquires relevance when one expects either electrical attraction or repulsion between nanoparticle and tumor or target tissue. This paper tries to model this through the concept of overlapping wave functions. The results would indicate that quantum numbers might be critic at the action of internalization. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2022-03-03T14:01:09Z |
dc.date.available.none.fl_str_mv |
2022-03-03T14:01:09Z |
dc.date.issued.fl_str_mv |
2020-12-16 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.citation.es_PE.fl_str_mv |
Nieto-Chaupis, H. (2020, October). Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 180-184). IEEE. |
dc.identifier.isbn.none.fl_str_mv |
978-1-7281-9574-2 |
dc.identifier.issn.none.fl_str_mv |
2471-7819 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.13067/1704 |
dc.identifier.journal.es_PE.fl_str_mv |
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/BIBE50027.2020.00037 |
identifier_str_mv |
Nieto-Chaupis, H. (2020, October). Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 180-184). IEEE. 978-1-7281-9574-2 2471-7819 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) |
url |
https://hdl.handle.net/20.500.13067/1704 https://doi.org/10.1109/BIBE50027.2020.00037 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099558267&doi=10.1109%2fBIBE50027.2020.00037&partnerID=40&md5 |
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info:eu-repo/semantics/restrictedAccess |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Institute of Electrical and Electronics Engineers |
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PE |
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AUTONOMA |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).