基于使用卷积神经网络的蛋白质序列的多重histidine后翻译修饰 (PTM) 预测服务器:对质谱数据的案例研究

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Dibyansu Diptiman1, Abhishek Jalan1, Rishabh Pal1

  • 1Department of Biological Sciences, Birla Institute of Technology and Science, Hyderabad, India.

Journal of biomolecular structure & dynamics
|January 29, 2024
PubMed
概括

这项研究介绍了Hist-i-fy,Hist-i-fy是一种用于预测蛋白质多个histidine后翻译修饰 (PTMs) 的新型计算工具. 它在现有的单一功能预测器上提供了显著的进步,有助于表征具有未知功能的蛋白质.

关键词:
卷曲神经网络 (CNN) 是一种神经网络.希斯提丁的翻译后修改 (PTM)在UNIPROT数据库中.蛋白质序列的蛋白质序列是什么

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