Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies

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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...

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Detalles Bibliográficos
Autor: Nieto-Chaupis, Huber
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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spelling 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
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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
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dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers
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