MCNN-AAPT:使用蛋白质语言模型和多窗口深度学习,准确地分类和功能预测二次活性载体中的氨基酸和载体

Muhammad Shahid Malik1,2, Van The Le1, Syed Muazzam Ali Shah3

  • 1Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, Taiwan.

概括

本研究介绍了一种使用先进人工智能的计算方法,以准确分类氨基酸和载体,这对于了解细胞运输和疾病至关重要. 这种方法有效地预测了溶解物载体蛋白协会,有助于药物开发.

相关概念视频

Primary Active Transport01:29

Primary Active Transport

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Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

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Secondary Active Transport01:32

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Active Transport01:14

Active Transport

Active transport is a critical biological process that allows cells to move solutes against an electrochemical gradient. This process requires direct energy input and is characterized by its selectivity, saturability, and susceptibility to competitive inhibition.
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