Fast and accurate protein intrinsic disorder prediction by using a pretrained language model
Yidong Song(Sun Yat-sen University), Yuedong Yang(Guangzhou Experimental Station), Sheng Chen(Sun Yat-sen University), Yaoqi Zhou(China University of Geosciences (Beijing)), Qianmu Yuan(Sun Yat-sen University), Ken Chen(Sun Yat-sen University)
Cited by 19
Related Papers
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
|IEEE/ACM Transactions on Computational Biology and Bioinformatics|2021|836
Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor
|Nature Communications|2017|430
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility
|Bioinformatics|2017|389
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning
|Scientific Reports|2015|365
Critical assessment of protein intrinsic disorder prediction
|Nature Methods|2021|362