Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

被引:3
|
作者
Staples, Max [1 ]
Chan, Leong [2 ]
Si, Dong [3 ]
Johnson, Kasey [1 ]
Whyte, Connor [1 ]
Cao, Rcnzhi [1 ]
机构
[1] Pacific Lutheran Univ, Dept Comp Sci, Tacoma, WA 98447 USA
[2] Pacific Lutheran Univ, Sch Business, Tacoma, WA 98447 USA
[3] Univ Washington Bothell, Dept Comp Sci, Bothell, WA USA
关键词
AI; Machine learning; Deep learning; Bioinformatics; Reinforcement learning; Protein structure prediction; MODEL QUALITY ASSESSMENT;
D O I
10.1109/temscon.2019.8813656
中图分类号
F [经济];
学科分类号
02 ;
摘要
AI recently shows great promise in the field of bioinformatics, such as protein structure prediction. The Critical Assessment of protein Structure Prediction (CASP) is a nationwide experiment that takes place biannually, which centered around analyzing the best current systems for predicting protein tertiary structures. In this paper, we research on available AI methods and features, and then explore novel methods based on reinforcement learning. Such method will have profound implications for R&D in bioinformatics and add an additional platform to the management of innovation in biotechnology.
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页数:8
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