Literature DB >> 9080186

Double-mutant cycles: a powerful tool for analyzing protein structure and function.

A Horovitz1.   

Abstract

A double-mutant cycle involves wild-type protein, two single mutants and the corresponding double mutant protein. If the change in free energy associated with a structural or functional property of the protein upon a double mutation differs from the sum of changes in free energy due to the single mutations, then the residues at the two positions are coupled. Such coupling reflects either direct or indirect interactions between these residues. Double-mutant cycle analysis can be used to measure the strength of intramolecular and intermolecular pairwise interactions in proteins or protein-ligand complexes with known structure. Double-mutant cycles can also be employed to characterize structures that are inaccessible to NMR and X-ray crystallography, such as those of transition states for protein folding, ligand binding and enzyme catalysis, or of membrane proteins. Multidimensional mutant cycle analysis can be used to measure higher-order cooperativity between intramolecular or intermolecular interactions. In the absence of coupling between residues, prediction of mutational effects is possible by assuming their additivity.

Mesh:

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Year:  1996        PMID: 9080186     DOI: 10.1016/S1359-0278(96)00056-9

Source DB:  PubMed          Journal:  Fold Des        ISSN: 1359-0278


  127 in total

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4.  A role for a single-stranded junction in RNA binding and specificity by the Tetrahymena group I ribozyme.

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5.  Allosteric inhibition of the epithelial Na+ channel through peptide binding at peripheral finger and thumb domains.

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6.  Linking the acetylcholine receptor-channel agonist-binding sites with the gate.

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8.  Myasthenic syndrome AChRα C-loop mutant disrupts initiation of channel gating.

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9.  A cross-strand Trp Trp pair stabilizes the hPin1 WW domain at the expense of function.

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Review 10.  The gating of the CFTR channel.

Authors:  Oscar Moran
Journal:  Cell Mol Life Sci       Date:  2016-10-01       Impact factor: 9.261

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