Estimating intrinsic structural preferences of de novo emerging random-sequence proteins: Is aggregation the main bottleneck?

被引:28
作者
Angyan, Annamaria F. [2 ]
Perczel, Andras [2 ,3 ]
Gaspari, Zoltan [1 ]
机构
[1] Pazmany Peter Catholic Univ, Fac Informat Technol, H-1083 Budapest, Hungary
[2] Eotvos Lorand Univ, Inst Chem, H-1117 Budapest, Hungary
[3] HAS ELU Prot Modelling Grp, H-1117 Budapest, Hungary
基金
匈牙利科学研究基金会;
关键词
Protein evolution; De novo protein; Aggregation propensity; Random sequence; Structure prediction; AMINO-ACID-COMPOSITION; DISORDERED REGIONS; ENERGY CONTENT; PREDICTION; EVOLUTION; TOPOLOGY; SERVER; MODEL;
D O I
10.1016/j.febslet.2012.06.007
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Present-day proteins are believed to have evolved features to reduce the risk of aggregation. However, proteins can emerge de novo by translation of non-coding DNA segments. In this study we assess the aggregation, disorder and transmembrane propensity of protein sequences generated by translating random nucleotide sequences of varying GC-content. Potential de novo random-sequence proteins translated from regions with GC content between 40% and 60% do not show stronger aggregation propensity than existing ones and exhibit similar tendency to be disordered. We suggest that de novo emerging proteins do not mean an unavoidable aggregation threat to evolving organisms. (c) 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:2468 / 2472
页数:5
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