EpiVax, Inc, Providence, RI, USA.
MAbs. 2024 Jan-Dec;16(1):2333729. doi: 10.1080/19420862.2024.2333729. Epub 2024 Mar 27.
In silico immunogenicity risk assessment has been an important step in the development path for many biologic therapeutics, including monoclonal antibodies. Even if the source of a given biologic is 'fully human', T cell epitopes that are contained in the sequences of the biologic may activate the immune system, enabling the development of anti-drug antibodies that can reduce drug efficacy and may contribute to adverse events. Computational tools that identify T cell epitopes from primary amino acid sequences have been used to assess the immunogenic potential of therapeutic candidates for several decades. To facilitate larger scale analyses and accelerate preclinical immunogenicity risk assessment, our group developed an integrated web-based platform called ISPRI, (Immunogenicity Screening and Protein Re-engineering Interface) that provides hands-on access through a secure web-based interface for scientists working in large and mid-sized biotech companies in the US, Europe, and Japan. This toolkit has evolved and now contains an array of algorithms that can be used individually and/or consecutively for immunogenicity assessment and protein engineering. Most analyses start with the advanced epitope mapping tool (EpiMatrix), then proceed to identify epitope clusters using ClustiMer, and then use a tool called JanusMatrix to define whether any of the T cell epitope clusters may generate a regulatory T cell response which may diminish or eliminate anti-drug antibody formation. Candidates can be compared to similar products on a normalized immunogenicity scale. Should modifications to the biologic sequence be an option, a tool for moderating putative immunogenicity by editing T cell epitopes out of the sequence is available (OptiMatrix). Although this perspective discusses the in-silico immunogenicity risk assessment for monoclonal antibodies, bi-specifics, multi-specifics, and antibody-drug conjugates, the analysis of additional therapeutic modalities such as enzyme replacement proteins, blood factor proteins, CAR-T, gene therapy products, and peptide drugs is also made available on the ISPRI platform.
计算机免疫原性风险评估一直是许多生物治疗药物(包括单克隆抗体)开发路径中的重要步骤。即使给定生物制品的来源是“完全人源化”的,生物制品序列中包含的 T 细胞表位也可能激活免疫系统,从而产生能够降低药物疗效并可能导致不良反应的抗药物抗体。几十年来,用于识别主要氨基酸序列中 T 细胞表位的计算工具已被用于评估治疗候选物的免疫原性潜力。为了促进更大规模的分析并加速临床前免疫原性风险评估,我们的团队开发了一个名为 ISPRI(免疫原性筛选和蛋白质再工程接口)的集成网络平台,该平台通过安全的网络界面为在美国、欧洲和日本的大型和中型生物技术公司的科学家提供了实际操作的访问权限。这个工具包已经发展,现在包含了一系列算法,可以单独使用和/或连续用于免疫评估和蛋白质工程。大多数分析都是从高级表位映射工具(EpiMatrix)开始,然后使用 ClustiMer 识别表位簇,然后使用名为 JanusMatrix 的工具来确定任何 T 细胞表位簇是否可能产生调节性 T 细胞反应,从而减少或消除抗药物抗体的形成。候选物可以在归一化免疫性尺度上与类似产品进行比较。如果对生物序列进行修改是一种选择,则可以使用一种工具(OptiMatrix)通过编辑序列中的 T 细胞表位来调节潜在的免疫原性。虽然这篇观点文章讨论了单克隆抗体、双特异性抗体、多特异性抗体和抗体药物偶联物的计算机免疫原性风险评估,但也可以在 ISPRI 平台上分析其他治疗方式,如酶替代蛋白、血液因子蛋白、CAR-T、基因治疗产品和肽类药物。