Amino acid composition of proteins reduces deleterious impact of mutations

被引:52
作者
Hormoz, Sahand [1 ,2 ,3 ,4 ]
机构
[1] Univ Calif Santa Barbara, Kavli Inst Theoret Phys, Santa Barbara, CA 93106 USA
[2] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[3] Harvard Univ, Kavli Inst Bionano Sci & Technol, Cambridge, MA 02138 USA
[4] Dana Farber Canc Inst, Dept Canc Biol, Boston, MA 02115 USA
来源
SCIENTIFIC REPORTS | 2013年 / 3卷
基金
美国国家科学基金会;
关键词
ESCHERICHIA-COLI; THERMODYNAMICS; POTENTIALS; STABILITY; SEQUENCES; DESIGN; MODELS;
D O I
10.1038/srep02919
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The evolutionary origin of amino acid occurrence frequencies in proteins (composition) is not yet fully understood. We suggest that protein composition works alongside the genetic code to minimize impact of mutations on protein structure. First, we propose a novel method for estimating thermodynamic stability of proteins whose sequence is constrained to a fixed composition. Second, we quantify the average deleterious impact of substituting one amino acid with another. Natural proteome compositions are special in at least two ways: 1) Natural compositions do not generate more stable proteins than the average random composition, however, they result in proteins that are less susceptible to damage from mutations. 2) Natural proteome compositions that result in more stable proteins (i.e. those of thermophiles) are also tuned to have a higher tolerance for mutations. This is consistent with the observation that environmental factors selecting for more stable proteins also enhance the deleterious impact of mutations.
引用
收藏
页数:10
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