Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness

Detalles Bibliográficos
Autor: Curiel Manzanas, Sara
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:83649
Acceso en línea:https://oa.upm.es/83649/
Access Level:acceso abierto
Palabra clave:Protein secondary structure prediction
Deep Learning models
folding
Al- phaFold2
NMR
comparative analysis
biomedicine.
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spelling Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and TrustworthinessCuriel Manzanas, SaraProtein secondary structure predictionDeep Learning modelsfoldingAl- phaFold2NMRcomparative analysisbiomedicine.Serrano Fernández, EmilioTejera Nevado, Paloma20242024-05-01master thesishttp://purl.org/coar/resource_type/c_bdccinfo:eu-repo/semantics/masterThesishttps://oa.upm.es/83649/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:836492026-06-21T12:45:07Z
dc.title.none.fl_str_mv Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
title Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
spellingShingle Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
Curiel Manzanas, Sara
Protein secondary structure prediction
Deep Learning models
folding
Al- phaFold2
NMR
comparative analysis
biomedicine.
title_short Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
title_full Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
title_fullStr Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
title_full_unstemmed Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
title_sort Utilizing Deep Learning Models for Protein Folding Prediction: An Exploration of Explainability, Biases, Ethics, and Trustworthiness
dc.creator.none.fl_str_mv Curiel Manzanas, Sara
author Curiel Manzanas, Sara
author_facet Curiel Manzanas, Sara
author_role author
dc.contributor.none.fl_str_mv Serrano Fernández, Emilio
Tejera Nevado, Paloma
dc.subject.none.fl_str_mv Protein secondary structure prediction
Deep Learning models
folding
Al- phaFold2
NMR
comparative analysis
biomedicine.
topic Protein secondary structure prediction
Deep Learning models
folding
Al- phaFold2
NMR
comparative analysis
biomedicine.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-05-01
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://oa.upm.es/83649/
url https://oa.upm.es/83649/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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