A generalized machine-learning aided method for targeted identification of industrial enzymes from metagenome: a xylanase temperature dependence case study
Mehdi Foroozandeh Shahraki, Kiana Farhadyar, Kaveh Kavousi, Mohammad Hadi Azarabad, Amin Boroomand, Shohreh Ariaeenejad, Ghasem Hosseini Salekdeh
This paper develops a machine learning method to predict the thermal dependence of xylanases from metagenomic data, identifying three novel xylanases from rumen microbiota.
Biotechnology and Bioengineering · Oct 23, 2020Peer-reviewedBioinformatics