… With the widespread adoption of high-throughput methods and high-quality infrastructure, …
for EC number prediction, we first introduced and evaluated the state-of-the-art deep learning …

… a deep learning approach (DLKcat) for high-throughput k cat … the reliance on enzyme
commission (EC) number annotations to … formed the high-quality dataset for deep learning model …

… machine learning methods are being developed to improve catalytically potent enzymes
and predict … Machine learning (ML) enables the discovery of hidden patterns in abundant …

… high-throughput … allow one to enjoy the advantage of the protein structure-based approaches,
which can effectively identify the most similar folds and functional sites without high-quality …

… Enzyme Commission (EC) number. Consequently, the ability to predict EC numbers could
substantially reduce the number … organisms and enabling metabolic engineering applications. …

… for accurately predicting EC numbers based on novel deep learning techniques. To … Deep
learning enables high-quality and high-throughput prediction of enzyme commission numbers…

… 9b04321 [30] JY Ryu, HU Kim, and SY Lee, “Deep learning enables highquality and high-throughput
prediction of enzyme commission numbers,” Proceedings of the National Academy …

… next-generation sequencing and deep learning, strategies for … As long as high-quality enzymes
with sufficient specificity for … HT-MEK (high-throughput microfluidic enzyme kinetics) gave …

… , and their outputs are typically Enzyme Commission (EC) or Kyoto … , enabling users to
curate candidate-enzyme libraries from any source. This method uses a deep neural network to …

… enable rapid and high-throughput identification of enzymes … of enzymes were selected
based on enzyme commission (EC) … relies on large-scale data to make high-quality predictions. …