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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
Be the first to leave a comment!
You must be logged in first