Literature DB >> 9585527

A search for single substitutions that eliminate enzymatic function in a bacterial ribonuclease.

D D Axe1, N W Foster, A R Fersht.   

Abstract

Exhaustive-substitution studies, where many amino acid replacements are individually tested at all positions in a natural protein, have proven to be very valuable in probing the relationship between sequence and function. The broad picture that has emerged from studies of this sort is one of functional tolerance of substitution. We have applied this approach to barnase, a 110-residue bacterial ribonuclease. Because the selection system used to score barnase mutants as active or inactive detects activity down to a level that can be approached by nonenzyme catalysts, mutants that test inactive are essentially devoid of enzymatic function. Of the 109 barnase positions subjected to substitution, only 15 (14%) are vulnerable to this extreme level of inactivation, and only 2 could not be substituted without such inactivation. A total of 33 substitutions (amounting to 5% of the explored substitutions) were found to render barnase wholly inactive. The profoundly disruptive effects of all of these inactivating substitutions appear to result from either (1) replacement of a side chain that is directly involved in substrate binding or catalysis, (2) replacement of a substantially buried side chain, (3) introduction of a proline residue, or (4) replacement of a glycine residue. Although substitutions of these types are functionally tolerated more often than not, the system used here indicates that only these sorts of substitution are capable of single-handedly reducing catalytic function to, or nearly to, levels that can be achieved by nonenzyme catalysts.

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Year:  1998        PMID: 9585527     DOI: 10.1021/bi9804028

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  16 in total

1.  Can non-mechanical proteins withstand force? Stretching barnase by atomic force microscopy and molecular dynamics simulation.

Authors:  R B Best; B Li; A Steward; V Daggett; J Clarke
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

2.  Allosteric switching by mutually exclusive folding of protein domains.

Authors:  Tracy L Radley; Anna I Markowska; Blaine T Bettinger; Jeung-Hoi Ha; Stewart N Loh
Journal:  J Mol Biol       Date:  2003-09-19       Impact factor: 5.469

3.  Protein tolerance to random amino acid change.

Authors:  Haiwei H Guo; Juno Choe; Lawrence A Loeb
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-14       Impact factor: 11.205

4.  Simulating evolution by gene duplication of protein features that require multiple amino acid residues.

Authors:  Michael J Behe; David W Snoke
Journal:  Protein Sci       Date:  2004-08-31       Impact factor: 6.725

5.  Control of pollen-mediated gene flow in transgenic trees.

Authors:  Chunsheng Zhang; Kim H Norris-Caneda; William H Rottmann; Jon E Gulledge; Shujun Chang; Brian Yow-Hui Kwan; Anita M Thomas; Lydia C Mandel; Ronald T Kothera; Aditi D Victor; Leslie Pearson; Maud A W Hinchee
Journal:  Plant Physiol       Date:  2012-06-21       Impact factor: 8.340

6.  Simple evolutionary pathways to complex proteins.

Authors:  Michael Lynch
Journal:  Protein Sci       Date:  2005-09       Impact factor: 6.725

7.  The exchangeability of amino acids in proteins.

Authors:  Lev Y Yampolsky; Arlin Stoltzfus
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

8.  Cooperative fluctuations point to the dimerization interface of p53 core domain.

Authors:  Nigar Kantarci; Pemra Doruker; Turkan Haliloglu
Journal:  Biophys J       Date:  2006-07-15       Impact factor: 4.033

Review 9.  Genetic constraints on protein evolution.

Authors:  Manel Camps; Asael Herman; Ern Loh; Lawrence A Loeb
Journal:  Crit Rev Biochem Mol Biol       Date:  2007 Sep-Oct       Impact factor: 8.250

10.  Re-engineering a beta-lactamase using prototype peptides from a library of local structural motifs.

Authors:  Valeria A Risso; María E Primo; Mario R Ermácora
Journal:  Protein Sci       Date:  2009-02       Impact factor: 6.725

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