Abrahams Gabriel Jan, Newman Janet
Manufacturing (Biomedical), CSIRO, 343 Royal Parade, Parkville, VIC 3052, Australia.
Acta Crystallogr F Struct Biol Commun. 2019 Mar 1;75(Pt 3):184-192. doi: 10.1107/S2053230X19000141. Epub 2019 Feb 21.
Crystallization is in many cases a critical step for solving the three-dimensional structure of a protein molecule. Determining which set of chemicals to use in the initial screen is typically agnostic of the protein under investigation; however, crystallization efficiency could potentially be improved if this were not the case. Previous work has assumed that sequence similarity may provide useful information about appropriate crystallization cocktails; however, the authors are not aware of any quantitative verification of this assumption. This research investigates whether, given current information, one can detect any correlation between sequence similarity and crystallization cocktails. BLAST was used to quantitate the similarity between protein sequences in the Protein Data Bank, and this was compared with three estimations of the chemical similarities of the respective crystallization cocktails. No correlation was detected between proteins of similar (but not identical) sequence and their crystallization cocktails, suggesting that methods of determining screens based on this assumption are unlikely to result in screens that are better than those currently in use.
在许多情况下,结晶是解析蛋白质分子三维结构的关键步骤。在初始筛选中确定使用哪组化学物质通常与所研究的蛋白质无关;然而,如果情况并非如此,结晶效率可能会得到提高。先前的研究认为序列相似性可能会提供有关合适结晶混合物的有用信息;然而,作者并未意识到对这一假设的任何定量验证。本研究调查了在现有信息的情况下,是否能够检测到序列相似性与结晶混合物之间的任何相关性。使用BLAST对蛋白质数据库中的蛋白质序列之间的相似性进行定量,并将其与相应结晶混合物的化学相似性的三种估计值进行比较。在序列相似(但不相同)的蛋白质与其结晶混合物之间未检测到相关性,这表明基于这一假设确定筛选方法不太可能产生比目前使用的方法更好的筛选结果。