Abstract：
One of the trending fields in almost all areas of science and technology is artificial intelligence. Computational biology and artificial intelligence can help gene therapy in many steps including: gene identification, gene editing, vector design, development of new macromolecules and modeling of gene delivery. There are various tools used by computational biology and artificial intelligence in this field, such as genomics, transcriptomic and proteomics data analysis, machine learning algorithms and molecular interaction studies. These tools can introduce new gene targets, novel vectors, optimized experiment conditions, predict the outcomes and suggest the best solutions to avoid undesired immune responses following gene therapy treatment.
摘要：
几乎所有科学技术领域的趋势领域之一是人工智能。计算生物学和人工智能可以在许多步骤中帮助基因治疗，包括：基因识别，基因编辑,矢量设计,新大分子的开发和基因传递的建模。计算生物学和人工智能在这一领域使用了各种工具，比如基因组学，转录组学和蛋白质组学数据分析，机器学习算法和分子相互作用研究。这些工具可以引入新的基因靶标，新颖的载体，优化实验条件,预测结果，并提出最佳解决方案，以避免基因疗法治疗后的不良免疫反应。
