A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
Owing to their ability to maintain a thermodynamically stable fold at extremely high temperatures, thermophilic proteins (TTPs) play a critical role in basic research and a variety of applications in the food industry. As a result, the development of computation models for rapidly and accurately ide...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Nature Portfolio
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26800/ |
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