Fahmi Muhamad, Kharisma Viol Dhea, Ansori Arif Nur Muhammad, Ito Masahiro
Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan.
Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Kusatsu, Japan.
Adv Exp Med Biol. 2021;1318:839-857. doi: 10.1007/978-3-030-63761-3_47.
Sudden emergence and a rapid outbreak of SARS-CoV-2 accompanied by a devastating impact on the economy and public health has driven extensive scientific mobilization to study and elucidate the various associated concerns about SARS-CoV-2. Bioinformatics plays a crucial role in addressing and providing solutions to questions about SARS-CoV-2. It helps shorten the duration for the vaccine development process and the discovery of potential clinical interventions through the simulation and information retrieval, and the development of well-ordered information hubs and resources, which are essential to derive data and meaningful findings from the current massive information about SARS-CoV-2. Advanced algorithms in this field also provide approaches that are essential to elucidate the relationship, origin, and evolutionary process of SARS-CoV-2. Here, we report essential bioinformatics entities, such as database and platform development, molecular evolution and phylogenetic analyses, and vaccine designs, that are useful to solve the SARS-CoV-2 conundrum.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的突然出现和迅速爆发,对经济和公共卫生造成了毁灭性影响,促使科学界广泛动员起来,研究并阐明与SARS-CoV-2相关的各种问题。生物信息学在解决有关SARS-CoV-2的问题并提供解决方案方面发挥着关键作用。它有助于通过模拟和信息检索,以及开发有序的信息中心和资源,缩短疫苗研发过程的时间,并发现潜在的临床干预措施,而这些对于从当前关于SARS-CoV-2的海量信息中获取数据和有意义的发现至关重要。该领域的先进算法还提供了阐明SARS-CoV-2的关系、起源和进化过程所必需的方法。在此,我们报告了一些重要的生物信息学实体,如数据库和平台开发、分子进化和系统发育分析以及疫苗设计,这些对于解决SARS-CoV-2难题很有用。