Literature DB >> 9260282

Coupling backbone flexibility and amino acid sequence selection in protein design.

A Su1, S L Mayo.   

Abstract

Using a protein design algorithm that considers side-chain packing quantitatively, the effect of explicit backbone motion on the selection of amino acids in protein design was assessed in the core of the streptococcal protein G beta 1 domain (G beta 1). Concerted backbone motion was introduced by varying G beta 1's supersecondary structure parameter values. The stability and structural flexibility of seven of the redesigned proteins were determined experimentally and showed that core variants containing as many as 6 of 10 possible mutations retain native-like properties. This result demonstrates that backbone flexibility can be combined explicitly with amino acid side-chain selection and that the selection algorithm is sufficiently robust to tolerate perturbations as large as 15% of G beta 1's native supersecondary structure parameter values.

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Year:  1997        PMID: 9260282      PMCID: PMC2143777          DOI: 10.1002/pro.5560060810

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  39 in total

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Authors:  C Chothia; J Janin
Journal:  Proc Natl Acad Sci U S A       Date:  1981-07       Impact factor: 11.205

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Authors:  J W Ponder; F M Richards
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

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Journal:  Proc Natl Acad Sci U S A       Date:  1988-06       Impact factor: 11.205

4.  Two crystal structures of the B1 immunoglobulin-binding domain of streptococcal protein G and comparison with NMR.

Authors:  T Gallagher; P Alexander; P Bryan; G L Gilliland
Journal:  Biochemistry       Date:  1994-04-19       Impact factor: 3.162

5.  Four helix bundle diversity in globular proteins.

Authors:  N L Harris; S R Presnell; F E Cohen
Journal:  J Mol Biol       Date:  1994-03-11       Impact factor: 5.469

6.  Principles determining the structure of beta-sheet barrels in proteins. II. The observed structures.

Authors:  A G Murzin; A M Lesk; C Chothia
Journal:  J Mol Biol       Date:  1994-03-11       Impact factor: 5.469

7.  Principles determining the structure of beta-sheet barrels in proteins. I. A theoretical analysis.

Authors:  A G Murzin; A M Lesk; C Chothia
Journal:  J Mol Biol       Date:  1994-03-11       Impact factor: 5.469

8.  Orthogonal packing of beta-pleated sheets in proteins.

Authors:  C Chothia; J Janin
Journal:  Biochemistry       Date:  1982-08-17       Impact factor: 3.162

9.  Solvent-accessible surfaces of proteins and nucleic acids.

Authors:  M L Connolly
Journal:  Science       Date:  1983-08-19       Impact factor: 47.728

10.  Analysis and prediction of protein beta-sheet structures by a combinatorial approach.

Authors:  F E Cohen; M J Sternberg; W R Taylor
Journal:  Nature       Date:  1980-06-05       Impact factor: 49.962

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  26 in total

1.  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

2.  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

3.  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

4.  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

5.  Evaluation of the energetic contribution of an ionic network to beta-sheet stability.

Authors:  Kirsten S Lassila; Deepshikha Datta; Stephen L Mayo
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

6.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

7.  Discovery of entry inhibitors for HIV-1 via a new de novo protein design framework.

Authors:  M L Bellows; M S Taylor; P A Cole; L Shen; R F Siliciano; H K Fung; C A Floudas
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

8.  Dead-End Elimination with a Polarizable Force Field Repacks PCNA Structures.

Authors:  Stephen D LuCore; Jacob M Litman; Kyle T Powers; Shibo Gao; Ava M Lynn; William T A Tollefson; Timothy D Fenn; M Todd Washington; Michael J Schnieders
Journal:  Biophys J       Date:  2015-08-18       Impact factor: 4.033

9.  Solution structure and dynamics of a de novo designed three-helix bundle protein.

Authors:  S T Walsh; H Cheng; J W Bryson; H Roder; W F DeGrado
Journal:  Proc Natl Acad Sci U S A       Date:  1999-05-11       Impact factor: 11.205

10.  Toward full-sequence de novo protein design with flexible templates for human beta-defensin-2.

Authors:  Ho Ki Fung; Christodoulos A Floudas; Martin S Taylor; Li Zhang; Dimitrios Morikis
Journal:  Biophys J       Date:  2007-09-07       Impact factor: 4.033

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