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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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转移学习框架用于PTP1B抑制剂活性预测:通过Web平台实施自然和非自然产品的差异模型

Zixiao Wang1, Lili Sun2, Anqi Ren3

  • 1Department of Pharmacy, Honghui Hospital, Xi' an Jiaotong University, Xi'an, 710054, China. zixiaowang1112@foxmail.com.

Molecular diversity
|November 20, 2025
PubMed
概括

这项研究开发了定制的深度学习模型,用于预测蛋白氨酸酸酶1B (PTP1B) 抑制剂,通过区分天然和非天然产品来改善糖尿病,肥胖和癌症的药物发现.

关键词:
自然产品是天然产品.其他非自然产品.在PTP1B-预测平台上.蛋白质氨酸酸酶1B是一种蛋白质氨酸酸酶1B.转移学习转移学习

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