Literature DB >> 23605224

A new bioinformatics approach to natural protein collections: permutation structure contrasts of viral and cellular systems.

Daniel J Graham1.   

Abstract

Biological cells and viruses operate by different replication and symmetry paradigms. Cells are able to replicate independently and express little spatial symmetry; viruses require cells for replication while manifesting high symmetry. The author inquired whether different paradigms were reflected in the permutations of amino acid sequences. The hypothesis was that the permutation structure level and symmetry within viral protein collections exceed that of living cells. The rationale was that one symmetry aspect generally accompanies and promotes others in a system. The inquiry was readily answered given abundant sequence archives for proteins. The analysis of collections from diverse viral and cellular sources lends strong support. Additional insights into protein primary structure, the design of collections, and the role of information are provided as well.

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Year:  2013        PMID: 23605224     DOI: 10.1007/s10930-013-9485-2

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   4.000


  15 in total

1.  Prediction of the types of membrane proteins based on discrete wavelet transform and support vector machines.

Authors:  Jian-Ding Qiu; Xing-Yu Sun; Jian-Hua Huang; Ru-Ping Liang
Journal:  Protein J       Date:  2010-02       Impact factor: 2.371

Review 2.  Graphical representation of proteins.

Authors:  Milan Randić; Jure Zupan; Alexandru T Balaban; Drazen Vikić-Topić; Dejan Plavsić
Journal:  Chem Rev       Date:  2010-10-12       Impact factor: 60.622

3.  Proteomics-grade de novo sequencing approach.

Authors:  Mikhail M Savitski; Michael L Nielsen; Frank Kjeldsen; Roman A Zubarev
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

4.  Canonical labeling of proteome maps.

Authors:  Milan Randić; Nella Lers; Damir Vukicević; Dejan Plavsić; Brian D Gute; Subhash C Basak
Journal:  J Proteome Res       Date:  2005 Jul-Aug       Impact factor: 4.466

5.  Spectral index for assessment of differential protein expression in shotgun proteomics.

Authors:  Xiaoyun Fu; Sina A Gharib; Pattie S Green; Moira L Aitken; David A Frazer; David R Park; Tomas Vaisar; Jay W Heinecke
Journal:  J Proteome Res       Date:  2008-01-17       Impact factor: 4.466

Review 6.  Statistical methods and insights for protein and DNA sequences.

Authors:  S Karlin; P Bucher; V Brendel; S F Altschul
Journal:  Annu Rev Biophys Biophys Chem       Date:  1991

7.  Proteomic characterization of influenza H5N1 virus-like particles and their protective immunogenicity.

Authors:  Jae-Min Song; Chi-Won Choi; Sang-Oh Kwon; Richard W Compans; Sang-Moo Kang; Seung Il Kim
Journal:  J Proteome Res       Date:  2011-07-08       Impact factor: 4.466

8.  Sequence conservation in the prediction of catalytic sites.

Authors:  Yongchao Dou; Xingbo Geng; Hongyun Gao; Jialiang Yang; Xiaoqi Zheng; Jun Wang
Journal:  Protein J       Date:  2011-04       Impact factor: 2.371

9.  Similar amino acid sequences: chance or common ancestry?

Authors:  R F Doolittle
Journal:  Science       Date:  1981-10-09       Impact factor: 47.728

10.  Assessment of hepatitis C virus protein sequences with regard to interferon/ribavirin combination therapy response in patients with HCV genotype 1b.

Authors:  Sanja Glisic; Nevena Veljkovic; Snezana Jovanovic Cupic; Nada Vasiljevic; Jelena Prljic; Branislava Gemovic; Vladimir Perovic; Veljko Veljkovic
Journal:  Protein J       Date:  2012-02       Impact factor: 2.371

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