Suppr超能文献

蛋白质生物合成的准确性:蛋白质的准种性质及错误灾难的可能性。

Accuracy of protein biosynthesis: quasi-species nature of proteins and possibility of error catastrophes.

作者信息

Freist W, Sternbach H, Pardowitz I, Cramer F

机构信息

Max-Planck-Institut für experimentelle Medizin, Göttingen, Germany.

出版信息

J Theor Biol. 1998 Jul 7;193(1):19-38. doi: 10.1006/jtbi.1998.0672.

Abstract

Yeast aminoacyl-tRNA synthetases act in a multi-step process when recognizing their cognate amino acids; this identification event includes "physical" binding and "chemical" proof-reading steps. However, the various enzymes use these single steps at different degrees, and their specificities with regard to the 20 naturally occurring amino acids deviate considerably from each other. The characteristic discrimination factors D were determined for seven synthetases in vitro: the highest specificity with D values between 28,000 and > 500,000 were observed with tyrosyl-tRNA synthetase, the lowest values between 130 and 1700 for lysyl-tRNA synthetase. The tested class I enzymes are more specific than the investigated class II enzymes, and it may be put into discussion whether this observation can be generalized. Error rates in amino acid recognition differ not only between the individual aminoacyl-tRNA synthetases but also considerably for different amino acids sorted by the same enzyme. Strikingly, all investigated enzymes exhibit a poor specificity in discrimination of cysteine and tryptophan from their cognate substrates, and these cases may be regarded as "specificity holes". In view of the observed specificities a protein consisting of 700 amino acids would contain maximally up to five "incorrect" residues, if the in vitro error rates are also valid under in vivo conditions. Therefore the terminus "quasi-species", an expression which was originally created for nucleic acids, is justified. The "quasi-species" nature of proteins may become important when genes are translated in different organisms with different accuracies of the translation apparatus. In such cases different "quasi-species" will be obtained. Using our data in mathematical models which predict the stability of protein synthesizing systems, we find that they are consistent with a stable yeast organism which is not prone to die by an "error catastrophe". However, this appears only if average values from our experiments are used for calculations. If a single compound, e.g. the arginine analog canavanine, is discriminated very poorly from the cognate substrate, or if the "specificity holes" get larger, an "error catastrophe" must be envisaged.

摘要

酵母氨酰 - tRNA合成酶在识别其同源氨基酸时会经历多个步骤;这一识别过程包括“物理”结合和“化学”校对步骤。然而,各种酶在不同程度上利用这些单个步骤,并且它们对20种天然存在的氨基酸的特异性彼此差异很大。在体外测定了七种合成酶的特征性鉴别因子D:酪氨酰 - tRNA合成酶的特异性最高,D值在28,000至>500,000之间,赖氨酰 - tRNA合成酶的最低值在130至1700之间。所测试的I类酶比所研究的II类酶更具特异性,并且这种观察结果是否可以推广还值得探讨。氨基酸识别中的错误率不仅在各个氨酰 - tRNA合成酶之间不同,而且对于由同一酶分类的不同氨基酸也有很大差异。引人注目的是,所有研究的酶在区分半胱氨酸和色氨酸与其同源底物时都表现出较差的特异性,这些情况可被视为“特异性漏洞”。鉴于观察到的特异性,如果体外错误率在体内条件下也有效,那么一个由700个氨基酸组成的蛋白质最多将包含多达五个“错误”残基。因此,“准种”这个术语(最初是为核酸创造的)是合理的。当基因在具有不同翻译准确性的不同生物体中翻译时,蛋白质的“准种”性质可能会变得很重要。在这种情况下,将获得不同的“准种”。在预测蛋白质合成系统稳定性的数学模型中使用我们的数据时,我们发现它们与稳定的酵母生物体一致,该生物体不易因“错误灾难”而死亡。然而,这只有在将我们实验的平均值用于计算时才会出现。如果一种单一化合物,例如精氨酸类似物刀豆氨酸,与同源底物的区分很差,或者如果“特异性漏洞”变得更大,就必须设想会发生“错误灾难”。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验