Oke Muse, Agbalajobi Ramon, Osifeso Mowaninuwuraola, Muhammad Babagana, Lawal Halimat, Mai Muhammad, Adegunle Quadri
Department of Biological Sciences, Fountain University, Oke-Osun, Osogbo, Nigeria.
Biochem Mol Biol Educ. 2018 Sep;46(5):547-554. doi: 10.1002/bmb.21169.
Contemporary biology is currently undergoing a revolution, driven by the availability of high-throughput technologies and a wide variety of bioinformatics tools. However, bioinformatics education and practice is still in its infancy in most of the African continent. Consequently, concerted efforts have been made in recent years to incorporate bioinformatics modules into biological sciences curriculum of African Universities. Despite this, one aspect of bioinformatics that is yet to be incorporated is structural bioinformatics. In this article, we report on a structural bioinformatics project carried out by final year project students in a Nigerian university. The target protein was the thermoacidophilic Sulfolobus islandicus rod-shaped virus 1 (SIRV1) Rep protein, which was further characterized using various free, user-friendly and online sequence-based and structure-based bioinformatics tools. This exercise gave students the opportunity to generate new data, interpret the data, and acquire collaborative research skills. In this report, emphasis is placed on analysis of the data generated to further encourage analytical skills. By sharing this experience, it is anticipated that other similar institutions would adopt parallel strategies to expose undergraduate students to structural biology, and increase awareness of freely available bioinformatics tools for tackling pertinent biological questions. © 2018 International Union of Biochemistry and Molecular Biology, 46(5):547-554, 2018.
当代生物学目前正在经历一场革命,这是由高通量技术的可用性和各种各样的生物信息学工具推动的。然而,在非洲大陆的大部分地区,生物信息学教育和实践仍处于起步阶段。因此,近年来人们齐心协力将生物信息学模块纳入非洲大学的生物科学课程。尽管如此,生物信息学中尚未纳入的一个方面是结构生物信息学。在本文中,我们报告了尼日利亚一所大学的最后一年项目学生开展的一个结构生物信息学项目。目标蛋白是嗜热嗜酸冰岛硫化叶菌杆状病毒1(SIRV1)的Rep蛋白,使用各种免费、用户友好的在线序列和基于结构的生物信息学工具对其进行了进一步表征。这个练习让学生有机会生成新数据、解释数据并获得合作研究技能。在本报告中,重点是对所生成数据的分析,以进一步培养分析技能。通过分享这一经验,预计其他类似机构将采用类似策略,让本科生接触结构生物学,并提高对可免费获取的用于解决相关生物学问题的生物信息学工具的认识。© 2018国际生物化学与分子生物学联盟,46(5):547 - 554,2018。