Wenkai Wang
I received my Ph.D. from the School of Mathematical Sciences at Nankai University in June 2024. I was also selected for the prestigious 2024 Postdoctoral Innovative Talent Support Program and will be conducting my postdoctoral research with my advisor, Professor Jianyi Yang. My research focuses on the application of mathematical and computational methods to predict the structures of biological macromolecules. I have authored 9 papers i... More+
Paper Publications
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[1] Wenkai Wang and Jianyi Yang. trRosettaRNA: automated prediction of RNA 3D structure with transformer network. Nature Communications, 2023.
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[2] Wenkai Wang and Jianyi Yang. Single-sequence protein structure prediction using supervised transformer protein language models. Nature Computational Science, 2022.
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[3] Hong Su# , Wenkai Wang#(Co-first author) and Jianyi Yang. Improved protein structure prediction using a new multi-scale network and homologous templates. Advanced Science, 2021.
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[4] Zhenling Peng# , Wenkai Wang#(Co-first author) and Jianyi Yang. Protein structure prediction in the deep learning era. Current Opinion in Structural Biology, 2022.
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[5] Zhenling Peng# , Wenkai Wang#(Co-first author) , Hong Wei# and Jianyi Yang. Improved protein structure prediction with trRosettaX2, AlphaFold2, and optimized MSAs in CASP15. Proteins: Structure, Function, and Bioinformatics, 2023.
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[6] The trRosetta server for fast and accurate protein structure prediction. Nature Protocols, 2021.
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[7] Q-BioLiP: a comprehensive resource for quaternary structure-based protein-ligand interactions. Genomics, Proteomics & Bioinformatics, 2024.
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[8] RNA-Puzzles Round V: blind predictions of 23 RNA structures. Nature Methods, 2024.
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[9] RNA inter-nucleotide 3D closeness prediction by deep residual neural networks. Bioinformatics, 2021.