相关实验视频

Updated: Jul 5, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

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PPSNO:一个功能丰富的SNO站点预测器,通过从蛋白质序列衍生信息中堆叠集团策略来预测

Lun Zhu1, Liuyang Wang1, Zexi Yang1

  • 1School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China.

Interdisciplinary sciences, computational life sciences
|January 11, 2024
PubMed
概括

预测蛋白质S-化 (SNO) 位点对于理解生物功能至关重要. 新的PPSNO预测器,使用堆叠组合学习,达到92.8%的准确性,超过现有的SNO地点识别方法.

关键词:
生物信息学是一种生物信息学.半氨酸 (cysteine) 是一种氨酸.后翻译修改 (PTM) 是指翻译后的修改.通过S-化 (SNO) 进行化.

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues07:08

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Conservation of Protein Domains Over Different Proteins02:26

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A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Multi-species Conserved Sequences

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