Literature DB >> 21030460

Statistical distribution of amino acid sequences: a proof of Darwinian evolution.

Krystian Eitner1, Uwe Koch, Tomasz Gaweda, Jedrzej Marciniak.   

Abstract

MOTIVATION: The article presents results of the listing of the quantity of amino acids, dipeptides and tripeptides for all proteins available in the UNIPROT-TREMBL database and the listing for selected species and enzymes. UNIPROT-TREMBL contains protein sequences associated with computationally generated annotations and large-scale functional characterization. Due to the distinct metabolic pathways of amino acid syntheses and their physicochemical properties, the quantities of subpeptides in proteins vary. We have proved that the distribution of amino acids, dipeptides and tripeptides is statistical which confirms that the evolutionary biodiversity development model is subject to the theory of independent events. It seems interesting that certain short peptide combinations occur relatively rarely or even not at all. First, it confirms the Darwinian theory of evolution and second, it opens up opportunities for designing pharmaceuticals among rarely represented short peptide combinations. Furthermore, an innovative approach to the mass analysis of bioinformatic data is presented. CONTACT: eitner@amu.edu.pl SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21030460     DOI: 10.1093/bioinformatics/btq571

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Multiple Arkadia/RNF111 structures coordinate its Polycomb body association and transcriptional control.

Authors:  Huaiyu Sun; Yijing Liu; Tony Hunter
Journal:  Mol Cell Biol       Date:  2014-06-09       Impact factor: 4.272

2.  Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.

Authors:  Yafeng Zhu; Lukas M Orre; Henrik J Johansson; Mikael Huss; Jorrit Boekel; Mattias Vesterlund; Alejandro Fernandez-Woodbridge; Rui M M Branca; Janne Lehtiö
Journal:  Nat Commun       Date:  2018-03-02       Impact factor: 14.919

3.  Label-free quantitative proteomics to investigate the response of strawberry fruit after controlled ozone treatment.

Authors:  Cunkun Chen; Xiaojun Zhang; Huijie Zhang; Zhaojun Ban; Li Li; Chenghu Dong; Haipeng Ji; Wentong Xue
Journal:  RSC Adv       Date:  2019-01-03       Impact factor: 4.036

4.  Effect of ozone treatment on the phenylpropanoid biosynthesis of postharvest strawberries.

Authors:  Cunkun Chen; Huijie Zhang; Chenghu Dong; Haipeng Ji; Xiaojun Zhang; Li Li; Zhaojun Ban; Na Zhang; Wentong Xue
Journal:  RSC Adv       Date:  2019-08-14       Impact factor: 4.036

5.  High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies.

Authors:  T Noelle Lombana; Marissa L Matsumoto; Amy M Berkley; Evangeline Toy; Ryan Cook; Yutian Gan; Changchun Du; Paul Schnier; Wendy Sandoval; Zhengmao Ye; Jill M Schartner; Jeong Kim; Christoph Spiess
Journal:  MAbs       Date:  2018-11-22       Impact factor: 5.857

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.