{"id":{"repo_id":"purdue-thes","oai_identifier":"oai:docs.lib.purdue.edu:open_access_dissertations-2436"},"canonical_url":"https://search.dev.ndltd.org/etd/purdue-thes/oai:docs.lib.purdue.edu:open_access_dissertations-2436","repository":{"repo_id":"purdue-thes","name":"Purdue University","base_url":"https://docs.lib.purdue.edu/do/oai/"},"display":{"title":"PROTEIN FUNCTION, DIVERISTY AND FUNCTIONAL INTERPLAY","abstract":"Functional annotations of novel or unknown proteins is one of the central problems in post-genomics bioinformatics research. With the vast expansion of genomic and proteomic data and technologies over the last decade, development of automated function prediction (AFP) methods for large-scale identification of protein function has be-come imperative in many aspects. In this research, we address two important divergences from the “one protein – one function” concept on which all existing AFP methods are developed:","abstract_html":"Functional annotations of novel or unknown proteins is one of the central problems in post-genomics bioinformatics research. With the vast expansion of genomic and proteomic data and technologies over the last decade, development of automated function prediction (AFP) methods for large-scale identification of protein function has be-come imperative in many aspects. In this research, we address two important divergences from the “one protein – one function” concept on which all existing AFP methods are developed:","abstract_has_math":false,"creators":["Khan, Ishita Kamal"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["DAISUKE KIHARA","ALEX POTHEN","JENNIFER NEVILLE","KIHONG PARK","ROBERT D. SKEEL"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-01-01T08:00:00Z","date_published":"2016-01-01T08:00:00Z","updated_at":"2026-07-24T03:54:31Z","subjects":["Function prediction","Group function","Moonlighting","Protein Function"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://docs.lib.purdue.edu/open_access_dissertations/1220","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["DAISUKE KIHARA","ALEX POTHEN","JENNIFER NEVILLE","KIHONG PARK","ROBERT D. 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With the vast expansion of genomic and proteomic data and technologies over the last decade, development of automated function prediction (AFP) methods for large-scale identification of protein function has be-come imperative in many aspects. In this research, we address two important divergences from the “one protein – one function” concept on which all existing AFP methods are developed:"]},{"key":"dc:title","label":"Title","values":["PROTEIN FUNCTION, DIVERISTY AND FUNCTIONAL INTERPLAY"]}]}],"canonical_facts":{"dc:contributor":["DAISUKE KIHARA","ALEX POTHEN","JENNIFER NEVILLE","KIHONG PARK","ROBERT D. SKEEL"],"dc:creator":["Khan, Ishita Kamal"],"dc:description.abstract":["Functional annotations of novel or unknown proteins is one of the central problems in post-genomics bioinformatics research. With the vast expansion of genomic and proteomic data and technologies over the last decade, development of automated function prediction (AFP) methods for large-scale identification of protein function has be-come imperative in many aspects. In this research, we address two important divergences from the “one protein – one function” concept on which all existing AFP methods are developed:"],"dc:identifier":["https://docs.lib.purdue.edu/open_access_dissertations/1220"],"dc:subject":["Function prediction","Group function","Moonlighting","Protein Function"],"dc:title":["PROTEIN FUNCTION, DIVERISTY AND FUNCTIONAL INTERPLAY"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:54:31Z"}