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EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINS

Thermophilic proteins (TPPs) are critical for basic research and in the food industry due to their ability to maintain a thermodynamically stable fold at extremely high temperatures. Thus, the expeditious identification of novel TPPs through computational models from protein sequences is very desira...

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主要作者: Charoenkwan P.
其他作者: Mahidol University
格式: Article
出版: 2023
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在線閱讀:https://repository.li.mahidol.ac.th/handle/123456789/83863
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機構: Mahidol University