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首页> 外文期刊>Briefings in bioinformatics >Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics
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Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics

机译：用于设计基于肽的亚基疫苗和免疫治疗方法的石机工具

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The conventional approach for designing vaccine against a particular disease involves stimulation of the immune system using the whole pathogen responsible for the disease. In the post-genomic era, a major challenge is to identify antigenic regions or epitopes that can stimulate different arms of the immune system. In the past two decades, numerous methods and databases have been developed for designing vaccine or immunotherapy against various pathogen-causing diseases. This review describes various computational resources important for designing subunit vaccines or epitope-based immunotherapy. First, different immunological databases are described that maintain epitopes, antigens and vaccine targets. This is followed by in silico tools used for predicting linear and conformational B-cell epitopes required for activating humoral immunity. Finally, information on T-cell epitope prediction methods is provided that includes indirect methods like prediction of Major Histocompatibility Complex and transporter-associated protein binders. Different studies for validating the predicted epitopes are also examined critically. This review enlists novel in silico resources and tools available for predicting humoral and cell-mediated immune potential. These predicted epitopes could be used for designing epitope-based vaccines or immunotherapy as they may activate the adaptive immunity. Authors emphasized the need to develop tools for the prediction of adjuvants to activate innate and adaptive immune system simultaneously. In addition, attention has also been given to novel prediction methods to predict general therapeutic properties of peptides like half-life, cytotoxicity and immune toxicity.
机译：针对特定疾病设计疫苗的常规方法涉及使用负责疾病的整个病原体刺激免疫系统。在后基因组时代，主要挑战是鉴定抗原地区或表位，其可以刺激免疫系统的不同臂。在过去的二十年中，已经开发了许多方法和数据库来设计针对各种病原体疾病的疫苗或免疫疗法。该评论描述了对设计亚基疫苗或基于表位的免疫疗法的各种计算资源。首先，描述了不同的免疫数据库，其维持表位，抗原和疫苗靶标。其次是在用于预测激活体液免疫所需的线性和构象B细胞表位的硅工具中。最后，提供了关于T细胞表位预测方法的信息，其包括间接方法，如主要的组织相容性复合物和转运相关蛋白粘合剂的预测。还批判性地检查了用于验证预测表位的不同研究。本综述在可用于预测体液和细胞介导的免疫潜力的可用于预测Silico Resources和工具中的小说。这些预测的表位可用于设计基于表位的疫苗或免疫疗法，因为它们可以激活适应性免疫。作者强调需要开发用于预测佐剂的工具，同时激活先天和自适应免疫系统。此外，还注意到了新的预测方法，以预测半衰期，细胞毒性和免疫毒性等肽的一般治疗性能。

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