PROTEIN FUNCTION, DIVERISTY AND FUNCTIONAL INTERPLAY

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:

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Year

2016

Author dc:creator

• Khan, Ishita Kamal

Contributors dc:contributor

• DAISUKE KIHARA
• ALEX POTHEN
• JENNIFER NEVILLE
• KIHONG PARK
• ROBERT D. SKEEL

• Function prediction
• Group function
• Moonlighting
• Protein Function

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1220

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2436