Literature DB >> 21296088

Application of density similarities to predict membrane protein types based on pseudo-amino acid composition.

Abbas Mahdavi1, Samad Jahandideh.   

Abstract

Cell membranes provide integrity of living cells. Although the stability of biological membrane is maintained by the lipid bilayer, membrane proteins perform most of the specific functions such as signal transduction, transmembrane transport, etc. Then it is plausible membrane proteins being attractive drug targets. In this article, based on the concept of using the pseudo-amino acid composition to define a protein, three different density similarities are developed for predicting the membrane protein type. The predicted results showed that the proposed approach can remarkably improve the accuracy, and might become a useful tool for predicting the other attributes of proteins as well. Published by Elsevier Ltd.

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Year:  2011        PMID: 21296088      PMCID: PMC4536956          DOI: 10.1016/j.jtbi.2011.01.048

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  36 in total

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Journal:  J Mol Biol       Date:  1997-02-28       Impact factor: 5.469

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Journal:  Biophys Chem       Date:  1981-11       Impact factor: 2.352

Review 6.  NMR studies on how the binding complex of polyisoprenol recognition sequence peptides and polyisoprenols can modulate membrane structure.

Authors:  Guo-Ping Zhou; Frederic A Troy
Journal:  Curr Protein Pept Sci       Date:  2005-10       Impact factor: 3.272

7.  GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes.

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Journal:  J Comput Chem       Date:  2009-07-15       Impact factor: 3.376

8.  Using cellular automata images and pseudo amino acid composition to predict protein subcellular location.

Authors:  X Xiao; S Shao; Y Ding; Z Huang; K-C Chou
Journal:  Amino Acids       Date:  2005-07-28       Impact factor: 3.520

9.  Some remarks on protein attribute prediction and pseudo amino acid composition.

Authors:  Kuo-Chen Chou
Journal:  J Theor Biol       Date:  2010-12-17       Impact factor: 2.691

10.  A dynamic model for the p53 stress response networks under ion radiation.

Authors:  J-P Qi; S-H Shao; D-D Li; G-P Zhou
Journal:  Amino Acids       Date:  2006-10-31       Impact factor: 3.520

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  3 in total

1.  Prediction of multi-type membrane proteins in human by an integrated approach.

Authors:  Guohua Huang; Yuchao Zhang; Lei Chen; Ning Zhang; Tao Huang; Yu-Dong Cai
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

2.  iMPT-FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach.

Authors:  Wei Chen; Lei Chen; Qi Dai
Journal:  Comput Math Methods Med       Date:  2021-10-11       Impact factor: 2.238

Review 3.  Applications of Molecular Dynamics Simulation in Protein Study.

Authors:  Siddharth Sinha; Benjamin Tam; San Ming Wang
Journal:  Membranes (Basel)       Date:  2022-08-29
  3 in total

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