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Updated: Jan 10, 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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使用机器学习和QSAR模型,高通量预测PFAS与人肝脂肪酸结合蛋白的结合亲和关系,使用机器学习和QSAR模型

Yibo Jia1, Rouyi Wang1, Yumin Zhu1

  • 1MOE Key Laboratory of Pollution Processes and Environmental Criteria, Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin 300350, PR China.

Environment international
|November 28, 2025
PubMed
概括

预测和多醇基物质 (PFAS) 的肝脏积累潜力至关重要. 机器学习准确地预测了PFAS与肝脂肪酸结合蛋白 (Kd FABP) 的结合亲和力,有助于设计更安全的化学品.

关键词:
结合的亲缘关系是有约束力的.在 L-FABP 中,机器学习是机器学习.在PFAS中,有很多方法.确定优先级 确定优先级

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