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纳米抗体智能设计与药物筛选
AI-driven Nanobody Design & Screening
Zhendong Yang#, Chenxiang Hong#, Lixin Liang, Bingding Huang*, Xin Wang*. An ESM3-Driven Motif-Guided Algorithm for Nanobody CDR3 Optimization with Enhanced Humanization Profiles. Accepted by ISBRA 2026 (CCF-C, Track 2, 不收录EI, Macau, 2026.7.22-24) CCF-C
首次将蛋白质大模型 ESM3 的基序引导能力引入纳米抗体 CDR3 优化，在保持结构合理性的同时显著提升人源化水平。
Zikang You#, Xin Wang#, Fengcheng Mei*, Lixin Liang*. Paratope-GLoMe: Gated Low-rank Memory Model for Nanobody Paratope Prediction. Accepted by ISBRA 2026 (CCF-C, Track 1, Macau, 2026.7.22-24) CCF-C
提出门控低秩记忆新架构，精准预测纳米抗体-抗原结合面（paratope），为抗体药物理性设计提供关键工具。
Xin Wang#*, Zebiao Zheng#, Wei Qin#, Kangrui Yu#, Yangqi Hong, Yongqi Tang, Tiantai Wang, Lixin Liang*, and Bingding Huang*. NanoLAS 2.0: A Comprehensive Update on a Nanobody-Focused Platform with Advanced Visualization and Docking Simulation Features. (2025 IEEE BIBM, CCF-B, Wuhan, China, December 15-18, 2025) CCF-B https://ieeexplore.ieee.org/abstract/document/11356141
实验室自研纳米抗体一站式平台重大升级：数据整合 + 先进可视化 + 分子对接仿真，贯通「数据 → 模型 → 筛选」全链条。
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. SCI https://doi.org/10.3389/fchem.2025.1545136
以蛋白质大语言模型直接构建纳米抗体文库，验证 LLM 生成式设计的可行性。
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). CCF-C https://doi.org/10.1186/s12859-024-05750-5
较早将预训练蛋白质语言模型（RoBERTa）引入纳米抗体 paratope 预测，验证了迁移学习在小样本抗体场景的可行性，为后续 Paratope-GLoMe 等工作奠定基础。
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. 中科院药学二区 https://doi.org/10.3390/ph17040424
面向新冠病毒的纳米抗体迭代计算机筛选与稳定构象优化，体现「计算设计 → 实验验证」闭环。
Shuchang Xiong#, Zhengwen Liu#, Xin Yi#, Kai Liu, Bingding Huang*, Xin Wang*.NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. Database-Oxford, Volume 2024, baae003. https://doi.org/10.1093/database/baae003
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 ICCCAI. https://ieeexplore.ieee.org/document/10242734
首个针对纳米抗体的蛋白折叠算法系统评测，为方法选型提供基准。
蛋白质语言模型与可解释表征
Protein Language Models & Representation Analysis
Ruofan Yang, Chenxiang Hong, Ping An Qiu, Lixin Liang, Bingding Huang* and Xin Wang*. From Diagnosis to Solution: LayerDx Reveals pLM Encoding Failures, EnzymeDx Delivers Clinical-Grade Enzyme Variant Resolution. Accepted by IEEE BIBM 2026 (CCF-B) Regular Paper
从「诊断」到「方案」：LayerDx 首次系统定位蛋白质语言模型编码失效的层级来源，EnzymeDx 据此实现临床级酶突变体功能解析——打通 pLM 基础研究与临床应用的关键一环。
Ruofan Yang, Ping An Qiu, Lixin Liang, Bingding Huang* and Xin Wang*. FSDR: A Spectral Framework for Representation Geometry and Function Readout in Frozen Protein Language Model Embeddings. Accepted by IEEE BIBM 2026 (CCF-B) Short Paper
提出谱分析框架 FSDR，统一刻画冻结 pLM 嵌入的表征几何与功能信息分布，为模型可解释性提供新工具。
单细胞多组学与精准医学
Single-cell Multiomics for Precision Medicine
Blue B. Lake, Rajasree Menon, …, Xin Wang, …, 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. Nature 正刊
参与构建人类健康与损伤肾脏的器官级单细胞图谱，负责 SNARE-seq 的 Snakemake 流水线，属国际 KPMP 大科学计划核心成果。
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. SCI
提出 spike-in 归一化新策略，揭示单细胞水平全局转录活性在抗癌药物响应中的动态规律。
智能交互、可视化与数据安全
VR · BCI · Blockchain
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). CCF-A https://doi.org/10.1093/bioinformatics/btaf118
实验室首篇 CCF-A：VR 沉浸式蛋白分子可视化与操纵平台，为药物设计提供全新交互范式。
Yongheng Lu, Tao Wang, Lixin Liang, Bingding Huang* and Xin Wang*. K-Mamba: Kinematic-Prior Gating for Compact EEG Emotion Decoding under Controlled Motion-Onset Stress. Accepted by IEEE BIBM 2026 (CCF-B) Short Paper
运动学先验门控 + Mamba 架构，在受控运动应力下实现紧凑高效的 EEG 情绪解码，面向真实可穿戴场景。
Xin Wang#*, Ruixuan Lin#, Jiaming Tang, Ruisheng Huang, Huankai Chen, Lixin Liang, Bingding Huang*. BioLedger: A Token Incentive-based Framework for the Secure Sharing of Genetic Data in Consortium Blockchain. (2025 IEEE BIBM, CCF-B, Wuhan, China, December 15-18, 2025) CCF-B https://ieeexplore.ieee.org/abstract/document/11357073
面向基因组数据「确权 + 共享」难题，提出 Token 激励的联盟链安全共享框架。
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