摘 要
肿瘤免疫治疗作为癌症治疗领域的前沿方向，近年来取得了显著进展，但现有抗体药物仍面临特异性不足、疗效有限及副作用较高等问题。本研究旨在设计并评价新型抗体药物，以提升其靶向性与治疗效果。通过结合计算生物学与实验验证，我们构建了基于双特异性抗体结构的创新分子，并引入了优化的Fc段以增强抗体依赖性细胞毒性（ADCC）效应。同时，采用高通量筛选技术对候选分子进行功能评估，最终获得具有优异亲和力与稳定性的候选抗体。体内外实验结果表明，该抗体能够显著激活T细胞活性，抑制肿瘤生长，并降低非特异性免疫反应。此外，本研究首次提出了一种基于人工智能的抗体优化策略，大幅提高了药物设计效率与成功率。综上所述，本研究不仅为肿瘤免疫治疗提供了潜在的有效工具，还为抗体药物的设计与开发开辟了新路径，具有重要的理论意义与应用价值。关键词：肿瘤免疫治疗; 双特异性抗体; 抗体依赖性细胞毒性（ADCC）; 人工智能优化; 高通量筛选技术
Abstract
Tumor immunotherapy, as a cutting-edge direction in cancer treatment, has achieved remarkable progress in recent years; however, existing antibody drugs still face challenges such as insufficient specificity, limited efficacy, and relatively high side effects. This study aims to design and evaluate novel antibody drugs to enhance their targeting ability and therapeutic effects. By integrating computational biology with experimental validation, we constructed innovative molecules based on bispecific antibody structures and introduced an optimized Fc region to augment antibody-dependent cellular cytotoxicity (ADCC) effects. Meanwhile, high-throughput screening technology was employed to functionally assess candidate molecules, ultimately yielding candidate antibodies with excellent affinity and stability. In vitro and in vivo experimental results demonstrated that the antibody could significantly activate T-cell activity, inhibit tumor growth, and reduce non-specific immune responses. Additionally, this study proposes for the first time an artificial intelligence-based antibody optimization strategy, which substantially improves the efficiency and success rate of drug design. In summary, this study not only provides a potentially effective tool for tumor immunotherapy but also opens new avenues for the design and development of antibody drugs, possessing significant theoretical implications and application value.
Key words:Tumor Immunotherapy; Bispecific Antibody; Antibody-Dependent Cellular Cytotoxicity (Adcc); Artificial Intelligence Optimization; High-Throughput Screening Technology
目 录
中文摘要 I
英文摘要 II
引 言 1
第1章、肿瘤免疫治疗基础研究 3
1.1、免疫系统与肿瘤相互作用机制 3
1.2、抗体药物在免疫治疗中的作用 3
1.3、当前抗体药物设计的挑战 4
第2章、新型抗体药物设计策略 5
2.1、抗体结构优化设计方法 5
2.2、双特异性抗体的设计原理 5
2.3、新型抗体修饰技术应用 6
第3章、抗体药物评价体系构建 7
3.1、体外活性评价方法开发 7
3.2、动物模型中的疗效评估 7
3.3、安全性与毒性评价标准 8
第4章、临床转化与未来方向 9
4.1、临床试验设计与实施 9
4.2、数据分析与结果解读 9
4.3、新型抗体药物的发展前景 10
结 论 11
参考文献 12
