使.

Yan Li1, Yinying Yao2,3, Yu Xia1

  • 1School of Information, Yunnan Normal University, Kunming, China.

BMC bioinformatics
|July 21, 2023
PubMed
概括

本研究引入了一个时间变异自编码器 (T-VAE) 模型,通过改善较长的氨基酸序列的表示和产生更相似的蛋白质变异来增强蛋白质工程. 与基线模型相比,T-VAE模型在预测蛋白质适应性和序列身份方面表现出卓越的性能.

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