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Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation.

Oriol Bárcenas1, Aleksander Kuriata2, Mateusz Zalewski2

  • 1Institut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain.

Nucleic Acids Research
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Summary

Aggrescan4D (A4D) predicts pH-dependent protein aggregation and engineers solubility using evolutionary methods. This tool aids in understanding and designing solutions for protein aggregation challenges in disease and biotechnology.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Protein aggregation is implicated in incurable diseases and poses challenges for protein-based drug development and industrial applications.
  • The Aggrescan3D (A3D) method has been a popular structure-based predictor for protein aggregation, aiding in understanding and engineering protein solubility.
  • Existing methods often lack the ability to predict aggregation under varying pH conditions or to systematically engineer protein solubility.

Purpose of the Study:

  • To introduce Aggrescan4D (A4D), an advanced tool extending A3D's capabilities for predicting pH-dependent protein aggregation.
  • To develop an evolutionary-informed protocol within A4D for engineering protein solubility while maintaining structural integrity and stability.
  • To integrate extensive precalculated data and facilitate structure retrieval for enhanced usability.

Main Methods:

  • Development of the Aggrescan4D (A4D) computational tool.
  • Implementation of a pH-dependent aggregation prediction module.
  • Integration of an automatic mutation protocol guided by evolutionary information to enhance protein solubility.
  • Incorporation of the A3D Model Organisms Database and AlphaFold database for structure retrieval.

Main Results:

  • A4D provides predictions for pH-dependent protein aggregation.
  • The tool features a protocol for engineering protein solubility through mutations without compromising structure or stability.
  • A4D integrates a large database of precalculated results and facilitates easy structure retrieval.

Conclusions:

  • Aggrescan4D (A4D) is a comprehensive tool for understanding, predicting, and designing solutions for protein aggregation issues.
  • The A4D web server offers a user-friendly platform for researchers to address protein aggregation challenges.
  • A4D advances the field by enabling pH-dependent aggregation prediction and solubility engineering.