Literature DB >> 17358197

Amino acid hydrophobicity and accessible surface area.

M A Moret1, G F Zebende.   

Abstract

It is well known that the hydrophobic effect is the major factor that drives a protein toward collapse and folding. We analyze the variation of the solvent-accessible surface area of amino acids in small fragments of protein (3N45) . In this way, we look into 5526 protein chains deposited in the Brookhaven Protein Data Bank. The accessible surface area behaves as a power law for N9 . The comparison between the loss of accessible area and the self-similar behavior gives us a measure of the possibility of an amino acid to have apolar or polar side chain. It is therefore possible to infer about amino acid hydrophobicity, i.e., if one amino acid has a hydrophobic side chain or if it has a hydrophilic one. Furthermore, the present findings indicate that the variation of the accessible surface area describes an alternative hydrophobicity scale.

Mesh:

Substances:

Year:  2007        PMID: 17358197     DOI: 10.1103/PhysRevE.75.011920

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  24 in total

1.  Scaling and self-organized criticality in proteins I.

Authors:  J C Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-13       Impact factor: 11.205

2.  Influence of C-H...O interactions on the structural stability of β-lactamases.

Authors:  P Lavanya; Sudha Ramaiah; Anand Anbarasu
Journal:  J Biol Phys       Date:  2013-06-25       Impact factor: 1.365

3.  A stringent test for hydrophobicity scales: two proteins with 88% sequence identity but different structure and function.

Authors:  Alexander E Kister; James C Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-30       Impact factor: 11.205

4.  Reply to Koonin et al.: Evolution of proteins is Darwinian.

Authors:  J C Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-18       Impact factor: 11.205

5.  GENN: a GEneral Neural Network for learning tabulated data with examples from protein structure prediction.

Authors:  Eshel Faraggi; Andrzej Kloczkowski
Journal:  Methods Mol Biol       Date:  2015

6.  HSymM-guided engineering of the immunodominant p53 transactivation domain putative peptide antigen for improved binding to its anti-p53 monoclonal antibody.

Authors:  Zachary R Fritz; Rene S Schloss; Martin L Yarmush; Lawrence J Williams
Journal:  Bioorg Med Chem Lett       Date:  2021-08-26       Impact factor: 2.823

7.  Scaling and self-organized criticality in proteins II.

Authors:  J C Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-05       Impact factor: 11.205

8.  Accurate single-sequence prediction of solvent accessible surface area using local and global features.

Authors:  Eshel Faraggi; Yaoqi Zhou; Andrzej Kloczkowski
Journal:  Proteins       Date:  2014-09-25

9.  Self-organized networks: Darwinian evolution of dynein rings, stalks, and stalk heads.

Authors:  J C Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-23       Impact factor: 11.205

10.  A protein interaction free energy model based on amino acid residue contributions: Assessment of point mutation stability of T4 lysozyme.

Authors:  Lawrence J Williams; Brian J Schendt; Zachary R Fritz; Yonatan Attali; Robert H Lavroff; Martin L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2019-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.