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 in high-impact SCI journals, including Nature Communications and Nature Computational Science. Five of these are first-author or co-first author publications, with two being named ESI Highly Cited Papers (see my Google Scholar profile for a full list). Throughout my studies, I have been honored with multiple awards, such as the National Scholarship, the "Nankai Ten Talents" award (given to only 10 students), and the title of Outstanding Graduate of Nankai University.

• 2020/09/01-2024/06/18
  Nankai University
  Bioinformatics
  With Certificate of Graduation for Doctorate Study
• 2018/09/01-2020/06/30
  Nankai University
  Probability Theory
  With Certificate of Graduation for Study as Master's Candidates
• 2014/09/01-2018/06/30
  Shandong University
  Financial Mathematics and Engineering

• 2024-07 — Now
  Research Center for Mathematics and Interdisciplinary SciencesShandong University
  PostDoc

1. Structural Bioinformatics

(1)Wenkai Wang. trRosettaRNA: automated prediction of RNA 3D structure with transformer network .Nature Communications .2023

(2)Wenkai Wang. Single-sequence protein structure prediction using supervised transformer protein language models .Nature Computational Science .2022

(3)Hong Su#,Wenkai Wang#(Co-first author). Improved protein structure prediction using a new multi-scale network and homologous templates .Advanced Science .2021

(4)Zhenling Peng#,Wenkai Wang#(Co-first author). Protein structure prediction in the deep learning era .Current Opinion in Structural Biology .2022

(5)Zhenling Peng#,Wenkai Wang#(Co-first author),Hong Wei#. Improved protein structure prediction with trRosettaX2, AlphaFold2, and optimized MSAs in CASP15 .Proteins: Structure, Function, and Bioinformatics .2023

(6) The trRosetta server for fast and accurate protein structure prediction .Nature Protocols .2021

(7) Q-BioLiP: a comprehensive resource for quaternary structure-based protein-ligand interactions .Genomics, Proteomics & Bioinformatics .2024

(8) RNA-Puzzles Round V: blind predictions of 23 RNA structures .Nature Methods .2024

(9) RNA inter-nucleotide 3D closeness prediction by deep residual neural networks .Bioinformatics .2021