Literature DB >> 3480005

Structure-activity relationships in engineered proteins: analysis of use of binding energy by linear free energy relationships.

A R Fersht1, R J Leatherbarrow, T N Wells.   

Abstract

The activity of mutant enzymes can be analyzed quantitatively by structure-activity relationships in a manner analogous to Brønsted or Hammett plots for simple organic reactions. The slopes of such plots, the beta values, indicate for the enzymatic reactions the fraction of the overall binding energy used in stabilizing particular complexes. In particular, information can be derived about the interactions between the enzyme and the transition state. The activities of many mutant tyrosyl-tRNA synthetases fit well simple linear free energy relationships. The formation of enzyme-bound tyrosyl adenylate (E.Tyr-AMP) from enzyme-bound tyrosine and ATP (E.Tyr-ATP) results in an increase in binding energy between the enzyme and the side chain of tyrosine and the ribose ring of ATP. Linear free energy plots of enzymes mutated in these positions give the fraction of the binding energy change that occurs on formation of the transition state for the chemical reaction and the various complexes. It is shown that groups that specifically stabilize the transition state of the reaction are characterized by beta values much greater than 1. This is found for residues that bind the gamma-phosphate of ATP (Thr-40 and His-45) and have previously been postulated to be involved in transition-state stabilization.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1987        PMID: 3480005     DOI: 10.1021/bi00393a013

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


  37 in total

1.  Transition-state structure as a unifying basis in protein-folding mechanisms: contact order, chain topology, stability, and the extended nucleus mechanism.

Authors:  A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

2.  A kinetically significant intermediate in the folding of barnase.

Authors:  A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

3.  Using flexible loop mimetics to extend phi-value analysis to secondary structure interactions.

Authors:  N Ferguson; J R Pires; F Toepert; C M Johnson; Y P Pan; R Volkmer-Engert; J Schneider-Mergener; V Daggett; H Oschkinat; A Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-30       Impact factor: 11.205

4.  Phi-value analysis and the nature of protein-folding transition states.

Authors:  Alan R Fersht; Satoshi Sato
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-18       Impact factor: 11.205

5.  Relationship of Leffler (Bronsted) alpha values and protein folding Phi values to position of transition-state structures on reaction coordinates.

Authors:  Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-21       Impact factor: 11.205

6.  Testing protein-folding simulations by experiment: B domain of protein A.

Authors:  Satoshi Sato; Tomasz L Religa; Valerie Daggett; Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-06       Impact factor: 11.205

7.  Mapping the sequence of conformational changes underlying selectivity filter gating in the K(v)11.1 potassium channel.

Authors:  David T Wang; Adam P Hill; Stefan A Mann; Peter S Tan; Jamie I Vandenberg
Journal:  Nat Struct Mol Biol       Date:  2010-12-19       Impact factor: 15.369

8.  Plasticity of acetylcholine receptor gating motions via rate-energy relationships.

Authors:  Ananya Mitra; Richard Tascione; Anthony Auerbach; Stuart Licht
Journal:  Biophys J       Date:  2005-08-19       Impact factor: 4.033

9.  Delineation of a region in the B2 bradykinin receptor that is essential for high-affinity agonist binding.

Authors:  J Nardone; P G Hogan
Journal:  Proc Natl Acad Sci U S A       Date:  1994-05-10       Impact factor: 11.205

10.  A linkage analysis toolkit for studying allosteric networks in ion channels.

Authors:  Daniel Sigg
Journal:  J Gen Physiol       Date:  2012-12-17       Impact factor: 4.086

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