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Updated: Jan 18, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Published on: January 26, 2024

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蛋白质语言模型和基于结构的机器学习用于预测蛋白质激酶中的体结合位:基于能源景观编码的挫折感的可解释的人工智能框架

Kamila Riedlová, Vít Škrhák, Will Gatlin

    bioRxiv : the preprint server for biology
    |January 16, 2026
    PubMed
    概括

    使用人工智能预测蛋白质激酶中的全结合位是具有挑战性的,因为它们的隐秘性质. 蛋白质丧分析显示,异位与正位不同,具有中性突变约束,解释了AI性能差异.

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