Date of Award
2015
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Narayanan, Ramaswamy
Abstract
Mining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome database to infer putative function. The hypothesis that the amino acid motifs and proteins domains of the uncharacterized proteins can be used as a starting point to predict putative function of these proteins provided the framework for the research discussed in this dissertation.
Extent
124 p.
Recommended Citation
Delgado, Ana Paula, "Bioinformatics mining of the dark matter proteome for cancer targets discovery" (2015). Electronic Theses and Dissertations 2010 - 2019. 1182.
https://digitalcommons.fau.edu/etd_general_6/1182
Identifier
FA00004361
Comments
Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2015.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.