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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Bibliographic Details
Main Author: Charoenkwan P.
Other Authors: Mahidol University
Format: Article
Published: 2023
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/83863
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Institution: Mahidol University