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Analysis of properties of thermally deformed protein structure by using two different types of artificial intelligence
Aip Advances ( IF 1.6 ) Pub Date : 2020-07-01 , DOI: 10.1063/5.0011165
Katsuhiko Nishiyama 1
Affiliation  

The thermal deformation of flexible protein structures affects the protein characteristics. However, the overall effects of deformation have not been fully investigated. In this study, the behaviors of tetrapeptides in active areas of a thermally deformed papain structure were analyzed by using a deep neural network, genetic programming, and computer simulations. Fifteen tetrapeptides were found to be compatible with the thermally deformed structure, and over half of them were incompatible with the structure without thermal deformation. A decision tree was used to show the attributes that governed the suitability of tetrapeptides in active areas.

中文翻译:

利用两种不同类型的人工智能分析热变形蛋白质结构的性质

柔性蛋白质结构的热变形影响蛋白质特性。但是,尚未全面研究变形的整体影响。在这项研究中,通过使用深度神经网络,遗传程序和计算机模拟,分析了热变形木瓜蛋白酶结构活性区域中四肽的行为。发现有十五种四肽与热变形结构相容,其中一半以上与没有热变形的结构不相容。决策树用于显示控制四肽在活性区域中适用性的属性。
更新日期:2020-08-01
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