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Updated: May 30, 2025

Quantifying Agonist Activity at G Protein-coupled Receptors
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Published on: December 26, 2011

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AiGPro:一种多任务模型,用于对激素和对抗剂的GPCRs进行分析

Rahul Brahma1, Sunghyun Moon1, Jae-Min Shin2

  • 1School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.

Journal of cheminformatics
|January 29, 2025
PubMed
概括

AiGPro是一个新的深度学习模型,可以预测231个人类G蛋白结合受体 (GPCR) 的小分子激素和对抗剂. 这种一流的多任务方法通过实现大规模的GPCR分析和虚拟查来加速药物发现.

关键词:
激动剂和对抗剂的作用.人工智能的人工智能是人工智能.药物开发 药物开发在GPCR中,GPCR是指GPCR.机器学习是机器学习.

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