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A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms.

Aleksandra E Badaczewska-Dawid1, Aleksander Kuriata2, Carlos Pintado-Grima3

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|October 28, 2023
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Summary

Protein aggregation, linked to aging and disease, can be predicted using computational tools. The new A3D Model Organism Database (A3D-MODB) aids in studying this process across 12 species.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Structural Biology

Background:

  • Protein aggregation is implicated in aging, diseases, and biotherapeutic production challenges.
  • Biophysical principles of protein aggregation have been elucidated through studies in model organisms.
  • Computational tools like Aggrescan 3D (A3D) have been developed to predict and redesign protein aggregation.

Purpose of the Study:

  • To introduce the A3D Model Organism Database (A3D-MODB), a resource for studying structural protein aggregation.
  • To provide a comprehensive, multi-species resource for analyzing protein aggregation.
  • To facilitate the development of protein-based solutions for various applications.

Main Methods:

  • Development of the A3D Model Organism Database (A3D-MODB).
  • Inclusion of A3D predictions for protein aggregation propensity.
  • Integration of data on membrane protein topology and structural model confidence.

Main Results:

  • The A3D-MODB provides predictions for structural protein aggregation across 12 diverse model organisms.
  • The database includes contextual information such as membrane protein topology and model confidence.
  • The resource is openly accessible without requiring registration.

Conclusions:

  • A3D-MODB serves as a valuable resource for multi-species analyses of protein aggregation.
  • The database can aid in understanding protein aggregation in aging and disease.
  • It supports the development of protein-based solutions for medical, biotechnological, and industrial applications.