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Generative Artificial Intelligence and Bioinformatics: Insights and Explorations in the Protein Sequence-Structure-Function Continuum

dc.contributor.advisorCarnevale, Vincenzo
dc.creatorMcGee, Francisco
dc.date.accessioned2023-09-03T14:41:35Z
dc.date.available2023-09-03T14:41:35Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/20.500.12613/8887
dc.description.abstractThe convergence of advanced models, data, and computational resources are allowing generative artificial intelligence (AI) to revolutionize science and society around text, images, and molecules. This work combines a theoretical generative AI methodology, a practical application of bioinformatics, and an optimized high-throughput computational tool to provide insights and conduct explorations into the protein sequence-structure-function continuum.
dc.format.extent154 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectArtificial intelligence
dc.subjectBioinformatics
dc.subjectComputer science
dc.titleGenerative Artificial Intelligence and Bioinformatics: Insights and Explorations in the Protein Sequence-Structure-Function Continuum
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberKumar, Sudhir
dc.contributor.committeememberVucetic, Slobodan
dc.contributor.committeememberShi, Xinghua Mindy
dc.description.departmentBiology
dc.relation.doihttp://dx.doi.org/10.34944/dspace/8851
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreePh.D.
dc.identifier.proqst15257
dc.date.updated2023-08-24T16:08:20Z
refterms.dateFOA2023-09-03T14:41:38Z
dc.identifier.filenameMcGee_temple_0225E_15257.pdf


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