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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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AGGRESCAN and its evolution: A two-decade perspective on protein aggregation prediction.

Giulia Pesce1, Oriol Solé1, Oriol Bárcenas1,2

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Protein aggregation impacts disease and biotechnology. The Aggrescan platform evolved to predict aggregation-prone regions (APRs) in proteins, aiding research and development.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Biotechnology
  • Biomedical Research

Background:

  • Protein aggregation is implicated in neurodegenerative diseases and affects therapeutic protein production.
  • Aberrant protein self-assembly poses significant challenges in biological and biotechnological applications.
  • Predicting aggregation-prone regions (APRs) is crucial for understanding and mitigating these issues.

Purpose of the Study:

  • To provide a comprehensive overview of the Aggrescan platform's evolution and applications.
  • To detail the development of tools for predicting protein aggregation.
  • To highlight the impact of Aggrescan in various scientific fields.

Main Methods:

  • Review of the Aggrescan platform, including AGGRESCAN, Aggrescan3D, and Aggrescan4D.
  • Examination of algorithmic foundations and empirical validation of prediction tools.
  • Integration of AlphaFold models for proteome-scale aggregation analysis.

Main Results:

  • The Aggrescan platform has evolved from sequence-based predictions to incorporate 3D structures and environmental factors.
  • Aggrescan tools have been validated empirically and applied across diverse research areas.
  • Integration with AlphaFold enables large-scale proteome analysis of protein aggregation determinants.

Conclusions:

  • The Aggrescan family of tools has become a reliable and accessible resource for studying protein aggregation.
  • Aggrescan facilitates the understanding and redesign of protein aggregation processes.
  • Continued evolution of Aggrescan supports advancements in biotechnology and biomedical research.