Literature DB >> 16177782

Evolutionary information for specifying a protein fold.

Michael Socolich1, Steve W Lockless, William P Russ, Heather Lee, Kevin H Gardner, Rama Ranganathan.   

Abstract

Classical studies show that for many proteins, the information required for specifying the tertiary structure is contained in the amino acid sequence. Here, we attempt to define the sequence rules for specifying a protein fold by computationally creating artificial protein sequences using only statistical information encoded in a multiple sequence alignment and no tertiary structure information. Experimental testing of libraries of artificial WW domain sequences shows that a simple statistical energy function capturing coevolution between amino acid residues is necessary and sufficient to specify sequences that fold into native structures. The artificial proteins show thermodynamic stabilities similar to natural WW domains, and structure determination of one artificial protein shows excellent agreement with the WW fold at atomic resolution. The relative simplicity of the information used for creating sequences suggests a marked reduction to the potential complexity of the protein-folding problem.

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Year:  2005        PMID: 16177782     DOI: 10.1038/nature03991

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  148 in total

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5.  Computationally designed libraries of fluorescent proteins evaluated by preservation and diversity of function.

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Review 7.  Protein stability by number: high-throughput and statistical approaches to one of protein science's most difficult problems.

Authors:  Thomas J Magliery; Jason J Lavinder; Brandon J Sullivan
Journal:  Curr Opin Chem Biol       Date:  2011-04-15       Impact factor: 8.822

8.  Functional residues serve a dominant role in mediating the cooperativity of the protein ensemble.

Authors:  Tong Liu; Steven T Whitten; Vincent J Hilser
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-05       Impact factor: 11.205

9.  Maximally informative pairwise interactions in networks.

Authors:  Jeffrey D Fitzgerald; Tatyana O Sharpee
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-09-23

10.  Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-17       Impact factor: 11.205

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