Literature DB >> 2928295

Polarity as a criterion in protein design.

G Baumann1, C Frömmel, C Sander.   

Abstract

Hypothetical proteins can be tested computationally by determining whether or not the designed sequence-structure pair has the characteristics of a typical globular protein. We have developed such a test by deriving quantities with approximately constant value for all globular proteins, based on empirical analysis of the exposed and buried surfaces of 128 structurally known proteins. The characteristic quantities that best appear to segregate badly designed or deliberately misfolded proteins from their properly folded natural relatives are the polar fraction of side chains on the protein surface and, independently, in the protein interior. Three of the seven hypothetical structures tested here can be rejected as having too many polar side-chain groups in the interior or too few on the protein surface. In addition, a recently designed nutritional protein is identified as being very much unlike globular proteins. These database-derived characteristic quantities are useful in screening designed proteins prior to experiment and may be useful in screening experimentally determined (X-ray, NMR) protein structures for possible errors.

Mesh:

Year:  1989        PMID: 2928295     DOI: 10.1093/protein/2.5.329

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


  22 in total

1.  Statistical potentials for fold assessment.

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Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

2.  Structure-function relationship for the highly toxic crotoxin from Crotalus durissus terrificus.

Authors:  Y P Mascarenhas; P F Stouten; J R Beltran; C J Laure; G Vriend
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Review 3.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

4.  Localization of ligand binding site in proteins identified in silico.

Authors:  Michal Brylinski; Marek Kochanczyk; Elzbieta Broniatowska; Irena Roterman
Journal:  J Mol Model       Date:  2007-03-30       Impact factor: 1.810

5.  Environment-specific amino acid substitution tables: tertiary templates and prediction of protein folds.

Authors:  J Overington; D Donnelly; M S Johnson; A Sali; T L Blundell
Journal:  Protein Sci       Date:  1992-02       Impact factor: 6.725

6.  Correlation functions as a tool for protein modeling and structure analysis.

Authors:  G Böhm; R Jaenicke
Journal:  Protein Sci       Date:  1992-10       Impact factor: 6.725

7.  Structural basis for chromosome X-linked agammaglobulinemia: a tyrosine kinase disease.

Authors:  M Vihinen; D Vetrie; H S Maniar; H D Ochs; Q Zhu; I Vorechovský; A D Webster; L D Notarangelo; L Nilsson; J M Sowadski
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-20       Impact factor: 11.205

8.  Verification of protein structures: patterns of nonbonded atomic interactions.

Authors:  C Colovos; T O Yeates
Journal:  Protein Sci       Date:  1993-09       Impact factor: 6.725

9.  Chemical Biology Toolkit for DCLK1 Reveals Connection to RNA Processing.

Authors:  Yan Liu; Fleur M Ferguson; Lianbo Li; Miljan Kuljanin; Caitlin E Mills; Kartik Subramanian; Wayne Harshbarger; Sudershan Gondi; Jinhua Wang; Peter K Sorger; Joseph D Mancias; Nathanael S Gray; Kenneth D Westover
Journal:  Cell Chem Biol       Date:  2020-08-04       Impact factor: 8.116

10.  Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys.

Authors:  Dan M Bolser; Ioannis Filippis; Henning Stehr; Jose Duarte; Michael Lappe
Journal:  BMC Struct Biol       Date:  2008-12-08
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