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Boqiao Lai
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Year
Accurate protein function prediction via graph attention networks with predicted structure information
B Lai, J Xu
Briefings in Bioinformatics 23 (1), bbab502, 2022
682022
A deep SE (3)-equivariant model for learning inverse protein folding
M McPartlon, B Lai, J Xu
BioRxiv, 2022.04. 15.488492, 2022
302022
Deploying synthetic coevolution and machine learning to engineer protein-protein interactions
A Yang, KM Jude, B Lai, M Minot, AM Kocyla, CR Glassman, D Nishimiya, ...
Science 381 (6656), eadh1720, 2023
122023
End-to-End deep structure generative model for protein design
B Lai, M McPartlon, J Xu
bioRxiv, 2022.07. 09.499440, 2022
122022
Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning
B Lai, S Qian, H Zhang, S Zhang, A Kozlova, J Duan, J Xu, X He
PLOS Computational Biology 18 (5), e1010011, 2022
9*2022
DeepGWAS: Enhance GWAS Signals for Neuropsychiatric Disorders via Deep Neural Network
Y Li, J Wen, G Li, J Chen, Q Sun, W Liu, W Guan, B Lai, J Szatkiewicz, ...
Research Square, 2023
42023
Antibody humanization via protein language model and neighbor retrieval
H Zou, R Yuan, B Lai, Y Dou, L Wei, J Xu
bioRxiv, 2023.09. 04.556278, 2023
32023
Dynamics of biomimetic electronic artificial neural networks
HM Hastings, OI Hernandez, L Jiang, B Lai, L Tensen, J Yang
Proceedings of the 4th International Conference on Applications in Nonlinear …, 2017
12017
Leveraging Deep Generative Model For Computational Protein Design And Optimization
B Lai
arXiv preprint arXiv:2408.17241, 2024
2024
Reversing Transcriptome-Wide Association Studies to improve expression Quantitative Trait Loci associations
J Yuan, B Lai, I Pe’er
bioRxiv, 2020.12. 27.424460, 2020
2020
A semi-supervised deep neural network method to predict deleteriousness of missense mutations
B Lai, J Long, H Qi, E Gao, Y Shen
Neural Information Processing Systems (NIPS) Workshop on Machine Learning in …, 2017
2017
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Articles 1–11