Literature DB >> 12767838

Prudent modeling of core polar residues in computational protein design.

Daniel N Bolon1, Joshua S Marcus, Scott A Ross, Stephen L Mayo.   

Abstract

Hydrogen bond interactions were surveyed in a set of protein structures. Compared to surface positions, polar side-chains at core positions form a greater number of intra-molecular hydrogen bonds. Furthermore, the majority of polar side-chains at core positions form at least one hydrogen bond to main-chain atoms that are not involved in hydrogen bonds to other main-chain atoms. Based on this structural survey, hydrogen bond rules were generated for each polar amino acid for use in protein core design. In the context of protein core design, these prudent polar rules were used to eliminate from consideration polar amino acid rotamers that do not form a minimum number of hydrogen bonds. As an initial test, the core of Escherichia coli thioredoxin was selected as a design target. For this target, the prudent polar strategy resulted in a minor increase in computational complexity compared to a strategy that did not allow polar residues. Dead-end elimination was used to identify global minimum energy conformations for the prudent polar and no polar strategies. The prudent polar strategy identified a protein sequence that was thermodynamically stabilized by 2.5 kcal/mol relative to wild-type thioredoxin and 2.2 kcal/mol relative to a thioredoxin variant whose core was designed without polar residues.

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Year:  2003        PMID: 12767838     DOI: 10.1016/s0022-2836(03)00423-6

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

1.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

2.  Specificity versus stability in computational protein design.

Authors:  Daniel N Bolon; Robert A Grant; Tania A Baker; Robert T Sauer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-29       Impact factor: 11.205

3.  Computational design of the Fyn SH3 domain with increased stability through optimization of surface charge charge interactions.

Authors:  Katrina L Schweiker; Arash Zarrine-Afsar; Alan R Davidson; George I Makhatadze
Journal:  Protein Sci       Date:  2007-12       Impact factor: 6.725

4.  Sequence analysis and rule development of predicting protein stability change upon mutation using decision tree model.

Authors:  Liang-Tsung Huang; M Michael Gromiha; Shinn-Ying Ho
Journal:  J Mol Model       Date:  2007-03-30       Impact factor: 1.810

Review 5.  Computer-aided design of functional protein interactions.

Authors:  Daniel J Mandell; Tanja Kortemme
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

6.  Computational tools help improve protein stability but with a solubility tradeoff.

Authors:  Aron Broom; Zachary Jacobi; Kyle Trainor; Elizabeth M Meiering
Journal:  J Biol Chem       Date:  2017-07-14       Impact factor: 5.157

7.  Alanine scan of core positions in ubiquitin reveals links between dynamics, stability, and function.

Authors:  Shirley Y Lee; Lester Pullen; Daniel J Virgil; Carlos A Castañeda; Dulith Abeykoon; Daniel N A Bolon; David Fushman
Journal:  J Mol Biol       Date:  2013-12-19       Impact factor: 5.469

8.  Analyses of the effects of all ubiquitin point mutants on yeast growth rate.

Authors:  Benjamin P Roscoe; Kelly M Thayer; Konstantin B Zeldovich; David Fushman; Daniel N A Bolon
Journal:  J Mol Biol       Date:  2013-01-30       Impact factor: 5.469

  8 in total

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