Literature DB >> 19384988

Contributions of all 20 amino acids at site 96 to the stability and structure of T4 lysozyme.

Blaine H M Mooers1, Walter A Baase, Jonathan W Wray, Brian W Matthews.   

Abstract

To try to resolve the loss of stability in the temperature-sensitive mutant of T4 lysozyme, Arg 96 --> His, all of the remaining 18 naturally occurring amino acids were substituted at site 96. Also, in response to suggestions that the charged residues Lys85 and Asp89, which are 5-8 A away, may have important effects, each of these amino acids was replaced with alanine. Crystal structures were determined for many of the variants. With the exception of the tryptophan and valine mutants R96W and R96V, the crystallographic analysis shows that the substituted side chain following the path of Arg96 in wildtype (WT). The melting temperatures of the variants decrease by up to approximately 16 degrees C with WT being most stable. There are two site 96 replacements, with lysine or glutamine, that leave the stability close to that of WT. The only element that the side chains of these residues have in common with the WT arginine is the set of three carbon atoms at the C(alpha), C(beta), and C(gamma) positions. Although each side chain is long and flexible with a polar group at the distal position, the details of the hydrogen bonding to the rest of the protein differ in each case. Also, the glutamine replacement lacks a positive charge. This shows that there is some adaptability in achieving full stabilization at this site. At the other extreme, to be maximally destabilizing a mutation at site 96 must not only eliminate favorable interactions but also introduce an unfavorable element such as steric strain or a hydrogen-bonding group that remains unsatisfied. Overall, the study highlights the essential need for atomic resolution site-specific structural information to understand and to predict the stability of mutant proteins. It can be very misleading to simply assume that conservative amino acid substitutions cause small changes in stability, whereas large stability changes are associated with nonconservative replacements.

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Year:  2009        PMID: 19384988      PMCID: PMC2771291          DOI: 10.1002/pro.94

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


  30 in total

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Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1999-01-01

2.  X-ray structural and simulation analysis of a protein mutant: the value of a combined approach.

Authors:  Carla Mattos; Justin D Cohen; David F Green; Bruce Tidor; Martin Karplus
Journal:  Proteins       Date:  2004-05-15

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Journal:  Gene       Date:  1990-11-30       Impact factor: 3.688

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Authors:  S Kitamura; J M Sturtevant
Journal:  Biochemistry       Date:  1989-05-02       Impact factor: 3.162

5.  The contribution of polar group burial to protein stability is strongly context-dependent.

Authors:  Kazufumi Takano; J Martin Scholtz; James C Sacchettini; C Nick Pace
Journal:  J Biol Chem       Date:  2003-06-10       Impact factor: 5.157

6.  Enhancement of protein stability by the combination of point mutations in T4 lysozyme is additive.

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Journal:  Protein Eng       Date:  1995-10

7.  Expression and nitrogen-15 labeling of proteins for proton and nitrogen-15 nuclear magnetic resonance.

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Journal:  Methods Enzymol       Date:  1989       Impact factor: 1.600

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Authors:  M G Grütter; R B Hawkes; B W Matthews
Journal:  Nature       Date:  1979-02-22       Impact factor: 49.962

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Journal:  Biochim Biophys Acta       Date:  1975-03-28

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Authors:  B Tidor; M Karplus
Journal:  Biochemistry       Date:  1991-04-02       Impact factor: 3.162

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5.  Evaluation at atomic resolution of the role of strain in destabilizing the temperature-sensitive T4 lysozyme mutant Arg 96 --> His.

Authors:  Blaine H M Mooers; Dale E Tronrud; Brian W Matthews
Journal:  Protein Sci       Date:  2009-05       Impact factor: 6.725

6.  3D deep convolutional neural networks for amino acid environment similarity analysis.

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Journal:  BMC Bioinformatics       Date:  2017-06-14       Impact factor: 3.169

7.  Protein dynamic communities from elastic network models align closely to the communities defined by molecular dynamics.

Authors:  Sambit Kumar Mishra; Robert L Jernigan
Journal:  PLoS One       Date:  2018-06-20       Impact factor: 3.240

8.  Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability.

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  8 in total

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