MemMoRF

MemMoRF catalogs disordered protein regions that interact with cellular membranes (Membrane-associated Molecular Recognition Features, MemMoRFs) and associates experimentally validated entries with NMR-derived secondary structure propensity and flexibility data.


Key Features:

  • Experimental validation: Entries are supported by experimental evidence compiled from the literature and structural data.
  • Manual curation: Records are assembled through meticulous manual curation of existing scientific publications and structural datasets.
  • NMR-derived structural information: Secondary structure propensity and flexibility information are derived from nuclear magnetic resonance (NMR) chemical shifts.
  • Contextual annotations: Functional annotations and disease-related insights are extracted directly from scientific papers.
  • Disorder-to-order characterization: Documentation includes disorder-to-order transitions of intrinsically disordered protein regions (IDRs) upon lipid interaction, analogous to Molecular Recognition Features (MoRFs).
  • Biological process linkage: Associations to processes such as signaling, vesicle trafficking, and viral invasion are recorded.

Scientific Applications:

  • Signaling studies: Investigating roles of membrane-interacting IDRs in cellular signaling pathways.
  • Vesicle trafficking research: Analyzing involvement of MemMoRFs in vesicle formation and trafficking.
  • Viral invasion mechanisms: Studying membrane-associated IDRs implicated in viral entry and membrane interactions.
  • Protein–membrane dynamics: Characterizing disorder-to-order transitions and lipid interaction mechanisms of IDRs.
  • Disease association analysis: Exploring disease-related implications of membrane-associated disordered regions.

Methodology:

Entries were compiled by manual curation of literature and structural data; secondary structure propensity and flexibility were derived from NMR chemical shifts; contextual functional and disease annotations were extracted from scientific papers.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
2/20/2021

Operations

Publications

Csizmadia G, Erdős G, Tordai H, Padányi R, Tosatto S, Dosztányi Z, Hegedűs T. The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes. Nucleic Acids Research. 2020;49(D1):D355-D360. doi:10.1093/nar/gkaa954. PMID:33119751. PMCID:PMC7778998.

PMID: 33119751
Funding: - National Research, Development and Innovation Office: NKFIH 127961 - Semmelweis University: EFOP-3.6.3-VEKOP-16-2017-00009