Nat commun ｜ current progress and open challenges of applied deep learning in Bioscience

2022 year 4 month 1 Japan , From the Department of computer science at Rice University in Houston Todd J. Treangen Et al. Nat Commun Magazine articles , The latest progress of deep learning in five bioscience fields is discussed 、 Limitations and future prospects .

Thesis link ：

https://www.nature.com/articles/s41467-022-29268-7

This paper discusses deep learning (DL) Recent developments in five broad areas 、 Limitations and future prospects ： Protein structure prediction 、 Protein function prediction 、 Genome engineering 、 Systems biology and data integration 、 Phylogenetic inference . Each application area is discussed and DL The main bottleneck of the method , For example, training data 、 The scope of the problem and the use of existing resources in the new environment DL The power of Architecture . In the end, the paper summarizes the research results DL Specific problems and open challenges in the whole field of Bioscience .