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Bioinformatics | Molecular Biology Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. December 22, 2022
Bioinformatics I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction. August 5, 2022
Bioinformatics | Computational Biology | Structural Biology Deep learning geometrical potential for high-accuracy protein structure prediction. June 6, 2022
Atmospheric Science | Environmental Health | Public Health Spatiotemporal neural network for estimating surface NO concentrations over north China and their human health impact. May 23, 2022
Bioinformatics | Computational Biology | Protein structure modeling Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions. August 19, 2021
Bioinformatics | Protein structure prediction Protein inter-residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14. August 12, 2021
Bioinformatics | Structural Biology Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. August 6, 2021
Bioinformatics | Genomics | Proteomics Functions of Essential Genes and a Scale-Free Protein Interaction Network Revealed by Structure-Based Function and Interaction Prediction for a Minimal Genome. January 4, 2021
Bioinformatics | Protein Structural Bioinformatics DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins. November 18, 2019