Aimee E Mattei, Andres H Gutierrez, Soorya Seshadri, Jacob Tivin, Matt Ardito, Amy S Rosenberg, William D Martin, Anne S De Groot
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引用次数: 0
Abstract
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.
硅学免疫原性风险评估是包括单克隆抗体在内的许多生物疗法开发过程中的一个重要步骤。即使某种生物制剂的来源是 "全人源 "的,但生物制剂序列中包含的 T 细胞表位可能会激活免疫系统,从而产生抗药性抗体,降低药物疗效并导致不良反应。几十年来,从主氨基酸序列中识别 T 细胞表位的计算工具一直被用于评估候选疗法的免疫原性潜力。为了便于进行更大规模的分析并加快临床前免疫原性风险评估,我们的研究小组开发了一个名为 ISPRI(免疫原性筛选和蛋白质再工程界面)的综合网络平台,通过一个安全的网络界面为在美国、欧洲和日本的大中型生物技术公司工作的科学家提供实际操作访问。该工具包不断发展,目前包含一系列算法,可单独和/或连续用于免疫原性评估和蛋白质工程。大多数分析都从高级表位绘图工具(EpiMatrix)开始,然后使用 ClustiMer 识别表位群,再使用一种名为 JanusMatrix 的工具确定 T 细胞表位群是否会产生调节性 T 细胞反应,从而减少或消除抗药抗体的形成。候选药物可与同类产品进行归一化免疫原性比较。如果对生物序列进行修改是一种选择,可以使用一种工具(OptiMatrix),通过编辑序列中的 T 细胞表位来缓和假定的免疫原性。虽然本文讨论的是单克隆抗体、双特异性抗体、多特异性抗体和抗体-药物共轭物的体内免疫原性风险评估,但 ISPRI 平台还可对酶替代蛋白、血液因子蛋白、CAR-T、基因治疗产品和多肽药物等其他治疗方式进行分析。
期刊介绍:
mAbs is a multi-disciplinary journal dedicated to the art and science of antibody research and development. The journal has a strong scientific and medical focus, but also strives to serve a broader readership. The articles are thus of interest to scientists, clinical researchers, and physicians, as well as the wider mAb community, including our readers involved in technology transfer, legal issues, investment, strategic planning and the regulation of therapeutics.