Literature DB >> 9294182

Probing the role of packing specificity in protein design.

B I Dahiyat1, S L Mayo.   

Abstract

By using a protein-design algorithm that quantitatively considers side-chain packing, the effect of specific steric constraints on protein design was assessed in the core of the streptococcal protein G beta1 domain. The strength of packing constraints used in the design was varied, resulting in core sequences that reflected differing amounts of packing specificity. The structural flexibility and stability of several of the designed proteins were experimentally determined and showed a trend from well-ordered to highly mobile structures as the degree of packing specificity in the design decreased. This trend both demonstrates that the inclusion of specific packing interactions is necessary for the design of native-like proteins and defines a useful range of packing specificity for the design algorithm. In addition, an analysis of the modeled protein structures suggested that penalizing for exposed hydrophobic surface area can improve design performance.

Mesh:

Substances:

Year:  1997        PMID: 9294182      PMCID: PMC23334          DOI: 10.1073/pnas.94.19.10172

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Contributions of the large hydrophobic amino acids to the stability of staphylococcal nuclease.

Authors:  D Shortle; W E Stites; A K Meeker
Journal:  Biochemistry       Date:  1990-09-04       Impact factor: 3.162

2.  De novo design, expression, and characterization of Felix: a four-helix bundle protein of native-like sequence.

Authors:  M H Hecht; J S Richardson; D C Richardson; R C Ogden
Journal:  Science       Date:  1990-08-24       Impact factor: 47.728

3.  What makes a protein a protein? Hydrophobic core designs that specify stability and structural properties.

Authors:  M Munson; S Balasubramanian; K G Fleming; A D Nagi; R O'Brien; J M Sturtevant; L Regan
Journal:  Protein Sci       Date:  1996-08       Impact factor: 6.725

4.  Protein design automation.

Authors:  B I Dahiyat; S L Mayo
Journal:  Protein Sci       Date:  1996-05       Impact factor: 6.725

5.  The dead-end elimination theorem and its use in protein side-chain positioning.

Authors:  J Desmet; M De Maeyer; B Hazes; I Lasters
Journal:  Nature       Date:  1992-04-09       Impact factor: 49.962

6.  MOLMOL: a program for display and analysis of macromolecular structures.

Authors:  R Koradi; M Billeter; K Wüthrich
Journal:  J Mol Graph       Date:  1996-02

7.  Designing amino acid sequences to fold with good hydrophobic cores.

Authors:  S Sun; R Brem; H S Chan; K A Dill
Journal:  Protein Eng       Date:  1995-12

8.  Protein folding funnels: the nature of the transition state ensemble.

Authors:  J N Onuchic; N D Socci; Z Luthey-Schulten; P G Wolynes
Journal:  Fold Des       Date:  1996

9.  De novo design of the hydrophobic cores of proteins.

Authors:  J R Desjarlais; T M Handel
Journal:  Protein Sci       Date:  1995-10       Impact factor: 6.725

10.  Assessment of stability differences in the protein G B1 and B2 domains from hydrogen-deuterium exchange: comparison with calorimetric data.

Authors:  J Orban; P Alexander; P Bryan; D Khare
Journal:  Biochemistry       Date:  1995-11-21       Impact factor: 3.162

View more
  59 in total

1.  Computational method to reduce the search space for directed protein evolution.

Authors:  C A Voigt; S L Mayo; F H Arnold; Z G Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-27       Impact factor: 11.205

2.  Designed protein G core variants fold to native-like structures: sequence selection by ORBIT tolerates variation in backbone specification.

Authors:  S A Ross; C A Sarisky; A Su; S L Mayo
Journal:  Protein Sci       Date:  2001-02       Impact factor: 6.725

3.  A new approach to the design of uniquely folded thermally stable proteins.

Authors:  X Jiang; H Farid; E Pistor; R S Farid
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

4.  Mechanics and dynamics of B1 domain of protein G: role of packing and surface hydrophobic residues.

Authors:  M A Ceruso; A Amadei; A Di Nola
Journal:  Protein Sci       Date:  1999-01       Impact factor: 6.725

Review 5.  De novo design of helical bundles as models for understanding protein folding and function.

Authors:  R B Hill; D P Raleigh; A Lombardi; W F DeGrado
Journal:  Acc Chem Res       Date:  2000-11       Impact factor: 22.384

6.  Structure of a protein G helix variant suggests the importance of helix propensity and helix dipole interactions in protein design.

Authors:  P Strop; A M Marinescu; S L Mayo
Journal:  Protein Sci       Date:  2000-07       Impact factor: 6.725

7.  Prediction of amino acid sequence from structure.

Authors:  K Raha; A M Wollacott; M J Italia; J R Desjarlais
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

8.  Enzyme-like proteins by computational design.

Authors:  D N Bolon; S L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-27       Impact factor: 11.205

9.  Local complexity of amino acid interactions in a protein core.

Authors:  Rajul K Jain; Rama Ranganathan
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-18       Impact factor: 11.205

Review 10.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.