1) Epitope prediction
表位预测
1.
Objective To explore the immunotherapeutic strategy based on SSX tumor gene family by the CTL epitope prediction of the members of SSX tumor gene family and affinity assay of the epitope combining with MHCⅠ molecule.
目的通过对肿瘤基因SSX家族不同成员进行CTL表位预测,并对其与MHC-Ⅰ亲和力进行分析,为探索基于SSX肿瘤基因家族的免疫治疗奠定基础。
2.
Several computer algorithms are currently being used for epitope prediction of various major histocompatibility complex (MHC) class I and II molecules, based either on the analysis of natural MHC liga.
计算机算法与实验技术相结合的方法,已广泛用于各种免疫相关抗原T细胞表位的鉴定,对现在可获得的计算机预测方法,以及计算机算法与实验相结合鉴定T细胞表位的方法进行了综述,主要内容包括表位预测及抗原加工处理的预测。
3.
Methods Codon TGC (cysteine) was mutated to GGC ( glycine) through site-directed mutagenesis PCR and the selection of the mutated site was based on computer-assisted epitope prediction.
方法在对蛋白质序列进行计算机表位预测及生物学特性分析的基础上,利用PCR的定点诱变技术,使原始基因序列中编码半胱氨酸的TGC突变为编码甘氨酸的GGC,克隆并表达了该基因编码的蛋白质。
3) T cell epitope prediction
T细胞表位预测
1.
Multi-classifier integration approach for T cell epitope prediction;
用于T细胞表位预测的分类器集成方法
2.
Applications of sequential learning ahead masking model to T cell epitope prediction;
排序学习前向掩蔽模型在T细胞表位预测中的应用
3.
In order to enhance the understandability of existing T cell epitope prediction methods based on machine learning,we firstly construct a decision table comprising the nonamers by peptide preprocessing.
T细胞表位预测技术对于减少实验合成重叠肽、研究病原体与机体作用的免疫机制以及深入理解T细胞介导的免疫特异性均有重要意义。
5) Antigenic epitope/prediction
抗原表位/预测
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条