(预印本) Zebiao Zheng*, Wei Qin*, Kangrui Yu*, Yangqi Hong, Yongqi Tang, Tiantai Wang, Lixin Liang, Bingding Huang#, and Xin Wang#. NanoLAS 2.0: A Comprehensive Update on a Nanobody-Focused Platform with Advanced Visualization and Docking Simulation Features. bioRxiv (2024): 2024-07. https://www.biorxiv.org/content/10.1101/2024.07.15.603553v1

(预印本) Xiangpeng Meng, Shangru Li, Rui Li, Bingding Huang#, Xin Wang#. Nanotope: A Graph Neural Network-Based Model for Nanobody paratope prediction. Biorxiv. 2023 https://www.biorxiv.org/content/10.1101/2023.09.27.559671v1

(1). Xin Wang#, Yicheng Zhuang#, Wenrui Liang#, Haoyang Wen#, Zhencong Cai, Yujia He, Yuxi Su, Wei Qin, Yuanzhe Cai, Lixin Liang* and Bingding Huang*. “VisionMol: A Novel Virtual Reality Tool for Protein Molecular Structure Visualization and Manipulation.” Bioinformatics (2025): 41(3). https://doi.org/10.1093/bioinformatics/btaf118

(2). Xin Wang#, Haotian Chen#, Bo Chen, Lixin Liang, Fengcheng Mei*, and Bingding Huang*. “NanoAbLLaMA: construction of nanobody libraries with protein large language models.” Frontiers in Chemistry 13 (2025): 1545136. https://doi.org/10.3389/fchem.2025.1545136

(3). Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang#*, Xin Wang*. NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinformatics 25, 122 (2024). https://doi.org/10.1186/s12859-024-05750-5

(4). Wenyuan Shang#, Xiujun Hu#, Xiaoman Lin, Shangru Li, Shuchang Xiong, Bingding Huang*, Xin Wang*. (2024). Iterative In Silico Screening for Optimizing Stable Conformation of Anti-SARS-CoV-2 Nanobodies. Pharmaceuticals 17, no. 4: 424. https://doi.org/10.3390/ph17040424

(5). Shuchang Xiong#, Zhengwen Liu#, Xin Yi#, Kai Liu, Bingding Huang*, Xin Wang*. NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. Database-The Journal of Biological Databases and Curation, Volume 2024, 2024, baae003. https://doi.org/10.1093/database/baae003

(6). Shibo Liang, Ziquan Liang, Zecheng Wu, Feijuan Huang, Xu Wang, Yuanzhe Cai, Bingding Huang, Xin Wang. (2023). A benchmark study of protein folding algorithms on nanobodies. 2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI). https://ieeexplore.ieee.org/document/10242734

(7). Blue B. Lake, Rajasree Menon, Seth Winfree, Qiwen Hu, Ricardo Melo Ferreira, Kian Kalhor, Daria Barwinska, Edgar A. Otto, Michael Ferkowicz, Dinh Diep, Nongluk Plongthongkum, Amanda Knoten, Sarah Urata, Laura H. Mariani, Abhijit S. Naik, Sean Eddy, Bo Zhang, Yan Wu, Diane Salamon, James C. Williams, Xin Wang, Karol S. Balderrama, Paul J. Hoover, Evan Murray, Jamie L. Marshall, Teia Noel, Anitha Vijayan, Austin Hartman, Fei Chen, Sushrut S. Waikar, Sylvia E. Rosas, Francis P. Wilson, Paul M. Palevsky, Krzysztof Kiryluk, John R. Sedor, Robert D. Toto, Chirag R. Parikh, Eric H. Kim, Rahul Satija, Anna Greka, Evan Z. Macosko, Peter V. Kharchenko, Joseph P. Gaut, Jeffrey B. Hodgin, KPMP Consortium, Michael T. Eadon, Pierre C. Dagher, Tarek M. El-Achkar, Kun Zhang, Matthias Kretzler & Sanjay Jain. (2023). An atlas of healthy and injured cell states and niches in the human kidney. Nature (619), 585–594.

(8). Xin Wang, Jane Frederick, Hongbin Wang, Sheng Hui, Vadim Backman, Zhe Ji. (2021). Spike-in normalization for single-cell RNA-seq reveals dynamic global transcriptional activity mediating anti-cancer drug response. NAR Genomics and Bioinformatics, 3 (2), lqab054.

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