ПОРІВНЯЛЬНИЙ АНАЛІЗ МЕТОДІВ КОМП'ЮТЕРНОГО МОДЕЛЮВАННЯ ТРАНСКРИПЦІЙНОГО ФАКТОРА СТРЕСОСТІЙКОСТІ WRKY2 У TRITICUM AESTIVUM
Ключові слова:
protein modelling, machine learning, TaWRKY2, AlphaFold2Анотація
This study conducts a comparative analysis of computational modelling methods, focusing on the transcription factor stress tolerance WRKY2 in wheat (Triticum aestivum). WRKY2 plays a vital role in stress response mechanisms in wheat. Utilizing advanced techniques such as machine learning (in particular, AlphaFold) and homology modelling, the efficacy of these methods in elucidating the structural and functional aspects of WRKY2 was compared. Our findings provide insights into the most suitable computational strategies for studying stress tolerance mechanisms mediated by WRKY2, contributing to the enhancement of crop resilience against environmental stresses.
Посилання
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