Literature DB >> 8244628

Prediction of transmembrane helices from hydrophobic characteristics of proteins.

P K Ponnuswamy1, M M Gromiha.   

Abstract

Membrane proteins, requiring to be embedded into the lipid bilayers, have evolved to have amino acid sequences that will fold with a hydrophobic surface in contact with the alkane chains of the lipids and polar surface in contact with the aqueous phases on both sides of the membrane and the polar head groups of the lipids. It is generally assumed that the characteristics of the aqueous parts of the membrane proteins are similar to those of normal globular proteins, and the embedded parts are highly hydrophobic. In our earlier works, we introduced the concept of 'surrounding hydrophobicity' and developed a hydrophobicity scale for the 20 amino acid residues, and applied it successfully to the study of the family of globular proteins. In this work we use the concept of surrounding hydrophobicity to indicate quantitatively how the aqueous parts of membrane proteins compare with the normal globular proteins, and how rich the embedded parts are in their hydrophobic activity. We then develop a surrounding hydrophobicity scale applicable to membrane proteins, by mixing judicially the surrounding hydrophobicities observed in the crystals of the membrane protein, photosynthetic reaction center from the bacterium Rhodopseudomonas viridis, porin from Rhodobacter capsulatus and a set of 64 globular proteins. A predictive scheme based on this scale predicts from amino acid sequence, transmembrane segments in PRC and randomly selected 26 membrane proteins to 80% level of accuracy. This is a much higher predictive power when compared to the existing popular methods. A new procedure to measure the amphipathicity of sequence segments is proposed, and it is used to characterize the transmembrane parts of the sample membrane proteins.

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Year:  1993        PMID: 8244628     DOI: 10.1111/j.1399-3011.1993.tb00502.x

Source DB:  PubMed          Journal:  Int J Pept Protein Res        ISSN: 0367-8377


  8 in total

1.  Role of hydrophobic clusters and long-range contact networks in the folding of (alpha/beta)8 barrel proteins.

Authors:  S Selvaraj; M Michael Gromiha
Journal:  Biophys J       Date:  2003-03       Impact factor: 4.033

2.  An optimal structure-discriminative amino acid index for protein fold recognition.

Authors:  R H Leary; J B Rosen; P Jambeck
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

3.  Accurate model of liquid-liquid phase behavior of intrinsically disordered proteins from optimization of single-chain properties.

Authors:  Giulio Tesei; Thea K Schulze; Ramon Crehuet; Kresten Lindorff-Larsen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-02       Impact factor: 11.205

4.  ASAView: database and tool for solvent accessibility representation in proteins.

Authors:  Shandar Ahmad; Michael Gromiha; Hamed Fawareh; Akinori Sarai
Journal:  BMC Bioinformatics       Date:  2004-05-01       Impact factor: 3.169

5.  Structure based sequence dependent stiffness scale for trinucleotides: a direct method.

Authors:  M M Gromiha
Journal:  J Biol Phys       Date:  2000-03       Impact factor: 1.365

6.  Molecular characterization of cold adaptation based on ortholog protein sequences from Vibrionaceae species.

Authors:  Steinar Thorvaldsen; Erik Hjerde; Chris Fenton; Nils P Willassen
Journal:  Extremophiles       Date:  2007-06-19       Impact factor: 3.035

7.  Molecular characterization of cold adaptation of membrane proteins in the Vibrionaceae core-genome.

Authors:  Tim Kahlke; Steinar Thorvaldsen
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

8.  50 years of amino acid hydrophobicity scales: revisiting the capacity for peptide classification.

Authors:  Stefan Simm; Jens Einloft; Oliver Mirus; Enrico Schleiff
Journal:  Biol Res       Date:  2016-07-04       Impact factor: 5.612

  8 in total

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