BioMol-Lab, Universidade Federal do Ceará (UFC), Fortaleza, Ceará, Brazil.
BioMol-Lab, Universidade Federal do Ceará (UFC), Fortaleza, Ceará, Brazil.
Int J Biol Macromol. 2019 Aug 1;134:901-911. doi: 10.1016/j.ijbiomac.2019.05.100. Epub 2019 May 18.
Lectins are proteins that can bind specifically and reversibly to carbohydrates. This capacity gives lectins multiple biological roles and biotechnological applications. Although lectins can be found in all organisms, plant lectins, especially legume lectins, are undoubtedly the most thoroughly studied. Among legume lectins, the lectin from Canavalia ensiformis (ConA) and Canavalia brasiliensis (ConBr), both from Diocleinae subtribe, are two of the most well-known lectins. It has been 100 years since the first report of ConA and 40 years since the first report of ConBr, making 2019 an important year for lectinology. Structural data of these lectins in combination with biological activity tests clearly indicate that even a small shift in amino acid sequence can affect the tertiary and quaternary structures, consequently affecting the biological activity of these proteins. It is in this context that the present paper aims to review the structural data of ConA and ConBr, focusing on the primary structure, crystallography, tertiary and quaternary structures of these lectins, as well as their binding sites. This paper also expands the structural data by employing molecular dynamics to evaluate carbohydrate-binding properties and structural stability. It is anticipated that these data will increase knowledge about the structure-function relationships of these proteins.
凝集素是能够特异性和可逆地结合碳水化合物的蛋白质。这种能力使凝集素具有多种生物学功能和生物技术应用。虽然凝集素可以存在于所有生物体中,但植物凝集素,特别是豆科植物凝集素,无疑是研究最透彻的。在豆科凝集素中,来自刀豆属(Canavalia ensiformis,ConA)和扭刀豆属(Canavalia brasiliensis,ConBr)的凝集素是两种最著名的凝集素。自首次报道 ConA 以来已经过去了 100 年,自首次报道 ConBr 以来已经过去了 40 年,因此 2019 年是凝集素学的重要一年。这些凝集素的结构数据结合生物活性测试清楚地表明,即使氨基酸序列略有变化也会影响三级和四级结构,从而影响这些蛋白质的生物活性。正是在这种情况下,本文旨在回顾 ConA 和 ConBr 的结构数据,重点介绍这些凝集素的一级结构、晶体学、三级和四级结构以及它们的结合位点。本文还通过分子动力学评估碳水化合物结合特性和结构稳定性来扩展结构数据。预计这些数据将增加对这些蛋白质结构-功能关系的了解。