Literature DB >> 7844817

Elucidating the folding problem of helical peptides using empirical parameters. II. Helix macrodipole effects and rational modification of the helical content of natural peptides.

V Muñoz1, L Serrano.   

Abstract

Explaining the helical behaviour of amino acid sequences in solution could be one of the first steps in solving the protein folding problem in a rational way. The information about the conformational behaviour of helical peptides in solution, as well as the alpha-helix stability in proteins, has been utilised to derive a database with the energy contributions for various interaction taking place in an alpha-helix: intrinsic helical propensities, side-chain to side-chain interactions, main-chain to main-chain hydrogen bonds, and capping effects. This database was implemented in a algorithm based on the helix-coil transition theory (AGADIR). Here, the effects on helix stability due to interactions between charged groups and the helix macrodipole are described, quantified and implemented in AGADIR. The algorithm correctly calculates the average helical behaviour in solution of 423 peptides analysed by circular dichroism and it describes the helicity at a residue level, as found when comparing the prediction for each amino acid residue with the data derived from nuclear magnetic resonance studies. Using AGADIR we have done a rational modification of peptides corresponding to protein secondary structure elements in order to increase their helical content. The circular dichroism analysis of the mutant peptides showed a very good agreement between the experimental and calculated helical content. Moreover, in certain specific cases in which strong tertiary contacts in folded proteins do not exist, the algorithm successfully predicts the length of mutagenised alpha-helices. It is interesting to note that the final values of the parameters used do not significantly differ in absolute terms from those extracted from mutagenesis studies in proteins. This indicates that the same physico-chemical principles stand for both systems.

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Year:  1995        PMID: 7844817     DOI: 10.1006/jmbi.1994.0023

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  91 in total

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4.  Structure-based conformational preferences of amino acids.

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Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

8.  New stochastic strategy to analyze helix folding.

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9.  Computational design of water-soluble analogues of the potassium channel KcsA.

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10.  Computational design of a water-soluble analog of phospholamban.

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Journal:  Protein Sci       Date:  2003-02       Impact factor: 6.725

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