Literature DB >> 14983077

Probabilistic approach to the design of symmetric protein quaternary structures.

Xiaoran Fu1, Hidetoshi Kono, Jeffery G Saven.   

Abstract

Probabilistic methods have been developed that estimate the site-specific probabilities of the amino acids in sequences likely to fold to a particular target structure, and such information can be used to guide the de novo design of proteins and to probe sequence variability. An extension of these methods for the design of symmetric homo-oligomeric quaternary structures is presented. The theory is in excellent agreement with the results of studies on exactly solvable lattice models. Application to an atomically detailed representation of proteins verifies the utility of a symmetry assumption, which greatly simplifies and accelerates the calculations. The method may be applied to a wide variety of symmetric and periodic protein structures.

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Year:  2003        PMID: 14983077     DOI: 10.1093/protein/gzg132

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  5 in total

1.  Computational design of a protein crystal.

Authors:  Christopher J Lanci; Christopher M MacDermaid; Seung-gu Kang; Rudresh Acharya; Benjamin North; Xi Yang; X Jade Qiu; William F DeGrado; Jeffery G Saven
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-25       Impact factor: 11.205

Review 2.  Computational methods for de novo protein design and its applications to the human immunodeficiency virus 1, purine nucleoside phosphorylase, ubiquitin specific protease 7, and histone demethylases.

Authors:  M L Bellows; C A Floudas
Journal:  Curr Drug Targets       Date:  2010-03       Impact factor: 3.465

3.  Computational Design of Single-Peptide Nanocages with Nanoparticle Templating.

Authors:  José A Villegas; Nairiti J Sinha; Naozumi Teramoto; Christopher D Von Bargen; Darrin J Pochan; Jeffery G Saven
Journal:  Molecules       Date:  2022-02-12       Impact factor: 4.411

4.  De novo design and experimental characterization of ultrashort self-associating peptides.

Authors:  James Smadbeck; Kiat Hwa Chan; George A Khoury; Bo Xue; Robert C Robinson; Charlotte A E Hauser; Christodoulos A Floudas
Journal:  PLoS Comput Biol       Date:  2014-07-10       Impact factor: 4.475

5.  Computationally designed peptides for self-assembly of nanostructured lattices.

Authors:  Huixi Violet Zhang; Frank Polzer; Michael J Haider; Yu Tian; Jose A Villegas; Kristi L Kiick; Darrin J Pochan; Jeffery G Saven
Journal:  Sci Adv       Date:  2016-09-09       Impact factor: 14.136

  5 in total

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