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Intrinsically disordered regions (IDRs) are flexible protein regions and lack a fixed three-dimensional structure, which makes them difficult to study using traditional structural methods. However, artificial intelligence can be helpful in predicting, analyzing, and modeling these regions. This chapter provides a simple protocol for a preliminary-level approach to identifying protein IDRs. By reporting on the S100-A9 protein as a case study example, characterization of the IDRs of this molecule could provide further details on the complex molecular interactions involved in psoriasis, particularly those related to inflammation, immune dysregulation, and keratinocyte behavior.

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Deep Learning-Driven Computational Approaches for Studying Intrinsically Disordered Regions in S100-A9

  • 实验方案

  • 发表日期：

    2025年

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  • Gionathan L. Distefano,
  • Fabio D’Amico

摘要

Intrinsically disordered regions (IDRs) are flexible protein regions and lack a fixed three-dimensional structure, which makes them difficult to study using traditional structural methods. However, artificial intelligence can be helpful in predicting, analyzing, and modeling these regions. This chapter provides a simple protocol for a preliminary-level approach to identifying protein IDRs. By reporting on the S100-A9 protein as a case study example, characterization of the IDRs of this molecule could provide further details on the complex molecular interactions involved in psoriasis, particularly those related to inflammation, immune dysregulation, and keratinocyte behavior.