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

• المؤلف الرئيسي: Charoenkwan P.
• مؤلفون آخرون: Mahidol University
• التنسيق: مقال
• منشور في: 2023
• الموضوعات: Biochemistry, Genetics and Molecular Biology
• الوصول للمادة أونلاين: https://repository.li.mahidol.ac.th/handle/123456789/83863

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...