... such as UcpA and IdnO. The experimental results confirmed this biochemical–biophysical association, making it an interesting filter for ascertaining promiscuous enzymes. Hence, we created a dataset of physicochemical properties derived from the protein sequences and employed machine learning algorithms...

... unsupervised machine-learning method to quantify the morphological heterogeneity of cells and nuclei . Nat. Protoc. 16 , 754 – 774 10.1038/s41596-020-00432-x 25 Selimkhanov , J. , Taylor , B. , Yao , J. , Pilko , A. , Albeck , J. , Hoffmann , A. et al. ( 2014 ) Accurate...

..., these methods have seen less utilization in the plant sciences. In the last several years, machine learning methods have gained popularity in computational structural biology. These methods have enabled the development of new tools which are able to address the major challenges that have hampered the wide...