The IDIP framework for assessing protein function and its application to the prion protein.

Area of Science:

• Molecular Biology
• Biochemistry
• Genetics

Background:

• Assigning protein function is a significant challenge in biological research.
• A standardized framework for protein function determination is lacking.
• Defining when a protein's function is considered 'known' lacks clear criteria.

Purpose of the Study:

• To introduce a novel framework for inferring protein function.
• To apply this framework to the cellular prion protein (PrP^C).
• To propose a definitive function for PrP^C.

Main Methods:

• Development of the IDIP (inheritance, distribution, interactions, phenotypes) framework.
• Analysis of existing data categories relevant to protein function.
• Application of the IDIP framework to PrP^C using available literature.

Main Results:

• The IDIP framework integrates multiple data types for robust function inference.
• Available data converge on PrP^C controlling post-translational modification of neural cell adhesion molecules.
• This function is linked to epithelial-to-mesenchymal transition and plasticity programs.

Conclusions:

• The proposed function of PrP^C aligns with the IDIP framework and evolutionary context.
• The IDIP framework offers a systematic approach for intractable protein function studies.
• This framework can guide future research on uncharacterized proteins.