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Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
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Using the MoonProt Database for Understanding Protein Functions.

Constance J Jeffery1

  • 1Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL, USA. cjeffery@uic.edu.

Methods in Molecular Biology (Clifton, N.J.)
|July 29, 2025
PubMed
Summary
This summary is machine-generated.

The MoonProt Database aids researchers in identifying moonlighting proteins, which perform multiple functions. This resource helps predict protein function by cataloging these versatile proteins and their characteristics.

Keywords:
DNA-binding proteinDatabaseEnzymeMoonProt DatabaseMoonlighting proteinsMultifunctional proteinProtein functionProtein function predictionRNA-binding protein

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Predicting protein function is challenging due to moonlighting proteins, which exhibit multiple distinct functions from a single polypeptide chain.
  • Over 500 moonlighting proteins are known, highlighting the complexity of assigning single functions to proteins.
  • The MoonProt Database serves as a centralized resource for information on these multifunctional proteins.

Purpose of the Study:

  • To demonstrate the practical utility of the MoonProt Database for identifying known moonlighting proteins.
  • To guide users in identifying potential moonlighting proteins based on sequence homology.
  • To facilitate the discovery of moonlighting proteins with specific attributes, including organism origin, function, and disease association.

Main Methods:

  • Utilizing the MoonProt Database to query for specific proteins or protein families.
  • Employing sequence homology searches to identify potential moonlighting candidates.
  • Filtering the database by organism, function, and disease involvement to find proteins with desired characteristics.

Main Results:

  • The MoonProt Database provides a systematic approach to identifying and characterizing moonlighting proteins.
  • Users can efficiently determine if a protein of interest is a documented moonlighter.
  • The database enables the exploration of moonlighting proteins involved in various biological processes and diseases.

Conclusions:

  • The MoonProt Database is an invaluable tool for researchers studying protein function and moonlighting phenomena.
  • Effective utilization of the database can advance our understanding of protein versatility and its implications in biology and medicine.
  • The resource supports the identification of novel moonlighting proteins and their roles in health and disease.