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Natural protein sequences are more intrinsically disordered than random sequences.


ABSTRACT: Most natural protein sequences have resulted from millions or even billions of years of evolution. How they differ from random sequences is not fully understood. Previous computational and experimental studies of random proteins generated from noncoding regions yielded inclusive results due to species-dependent codon biases and GC contents. Here, we approach this problem by investigating 10,000 sequences randomized at the amino acid level. Using well-established predictors for protein intrinsic disorder, we found that natural sequences have more long disordered regions than random sequences, even when random and natural sequences have the same overall composition of amino acid residues. We also showed that random sequences are as structured as natural sequences according to contents and length distributions of predicted secondary structure, although the structures from random sequences may be in a molten globular-like state, according to molecular dynamics simulations. The bias of natural sequences toward more intrinsic disorder suggests that natural sequences are created and evolved to avoid protein aggregation and increase functional diversity.

SUBMITTER: Yu JF 

PROVIDER: S-EPMC4937073 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Natural protein sequences are more intrinsically disordered than random sequences.

Yu Jia-Feng JF   Cao Zanxia Z   Yang Yuedong Y   Wang Chun-Ling CL   Su Zhen-Dong ZD   Zhao Ya-Wei YW   Wang Ji-Hua JH   Zhou Yaoqi Y  

Cellular and molecular life sciences : CMLS 20160122 15


Most natural protein sequences have resulted from millions or even billions of years of evolution. How they differ from random sequences is not fully understood. Previous computational and experimental studies of random proteins generated from noncoding regions yielded inclusive results due to species-dependent codon biases and GC contents. Here, we approach this problem by investigating 10,000 sequences randomized at the amino acid level. Using well-established predictors for protein intrinsic  ...[more]

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