Literature DB >> 18186025

Matrix formalism for site-specific binding of unstructured proteins to multicomponent lipid membranes.

Vladimir B Teif1, Daniel Harries, Dmitri Y Lando, Avinoam Ben-Shaul.   

Abstract

We describe a new approach to calculate the binding of flexible peptides and unfolded proteins to multicomponent lipid membranes. The method is based on the transfer matrix formalism of statistical mechanics recently described as a systematic tool to study DNA-protein-drug binding in gene regulation. Using the energies of interaction of the individual polymer segments with different membrane lipid species and the scaling corrections due to polymer looping, we calculate polymer adsorption characteristics and the degree of sequestration of specific membrane lipids. The method is applied to the effector domain of the MARCKS (myristoylated alanine rich C kinase substrate) protein known to be involved in signal transduction through membrane binding. The calculated binding constants of the MARCKS(151-175) peptide and a series of related peptides to mixed PC/PS/PIP2 membranes are in satisfactory agreement with in vitro experiments.

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Year:  2008        PMID: 18186025     DOI: 10.1002/psc.994

Source DB:  PubMed          Journal:  J Pept Sci        ISSN: 1075-2617            Impact factor:   1.905


  5 in total

1.  Predicting gene-regulation functions: lessons from temperate bacteriophages.

Authors:  Vladimir B Teif
Journal:  Biophys J       Date:  2010-04-07       Impact factor: 4.033

2.  A lattice model for transcription factor access to nucleosomal DNA.

Authors:  Vladimir B Teif; Ramona Ettig; Karsten Rippe
Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

3.  The "electrostatic-switch" mechanism: Monte Carlo study of MARCKS-membrane interaction.

Authors:  Shelly Tzlil; Diana Murray; Avinoam Ben-Shaul
Journal:  Biophys J       Date:  2008-05-23       Impact factor: 4.033

4.  Effects of size, cooperativity, and competitive binding on protein positioning on DNA.

Authors:  Leo S McCormack; Artem K Efremov; Jie Yan
Journal:  Biophys J       Date:  2021-03-23       Impact factor: 4.033

5.  Predicting nucleosome positions on the DNA: combining intrinsic sequence preferences and remodeler activities.

Authors:  Vladimir B Teif; Karsten Rippe
Journal:  Nucleic Acids Res       Date:  2009-07-22       Impact factor: 16.971

  5 in total

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