Literature DB >> 8811739

Protein structure and the sequential structure of mRNA: alpha-helix and beta-sheet signals at the nucleotide level.

S Brunak1, J Engelbrecht.   

Abstract

A direct comparison of experimentally determined protein structures and their corresponding protein coding mRNA sequences has been performed. We examine whether real world data support the hypothesis that clusters of rare codons correlate with the location of structural units in the resulting protein. The degeneracy of the genetic code allows for a biased selection of codons which may control the translational rate of the ribosome, and may thus in vivo have a catalyzing effect on the folding of the polypeptide chain. A complete search for GenBank nucleotide sequences coding for structural entries in the Brookhaven Protein Data Bank produced 719 protein chains with matching mRNA sequence, amino acid sequence, and secondary structure assignment. By neural network analysis, we found strong signals in mRNA sequence regions surrounding helices and sheets. These signals do not originate from the clustering of rare codons, but from the similarity of codons coding for very abundant amino acid residues at the N- and C-termini of helices and sheets. No correlation between the positioning of rare codons and the location of structural units was found. The mRNA signals were also compared with conserved nucleotide features of 16S-like ribosomal RNA sequences and related to mechanisms for maintaining the correct reading frame by the ribosome.

Mesh:

Substances:

Year:  1996        PMID: 8811739     DOI: 10.1002/(SICI)1097-0134(199606)25:2<237::AID-PROT9>3.0.CO;2-E

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  20 in total

1.  The effects of the codon usage and translation speed on protein folding of 3D(pol) of foot-and-mouth disease virus.

Authors:  Xiao-Xia Ma; Yu-Ping Feng; Jun-Lin Liu; Bing Ma; Li Chen; Yong-Qing Zhao; Peng-Hui Guo; Jun-Zhen Guo; Zhong-Ren Ma; Jie Zhang
Journal:  Vet Res Commun       Date:  2013-05-29       Impact factor: 2.459

2.  Network analysis of synonymous codon usage.

Authors:  Khalique Newaz; Gabriel Wright; Jacob Piland; Jun Li; Patricia L Clark; Scott J Emrich; Tijana Milenković
Journal:  Bioinformatics       Date:  2020-12-08       Impact factor: 6.937

3.  Nonoptimal codon usage influences protein structure in intrinsically disordered regions.

Authors:  Mian Zhou; Tao Wang; Jingjing Fu; Guanghua Xiao; Yi Liu
Journal:  Mol Microbiol       Date:  2015-06-25       Impact factor: 3.501

4.  An Integrated Sequence-Structure Database incorporating matching mRNA sequence, amino acid sequence and protein three-dimensional structure data.

Authors:  I A Adzhubei; A A Adzhubei; S Neidle
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

5.  Quantifying shifts in natural selection on codon usage between protein regions: a population genetics approach.

Authors:  Alexander L Cope; Michael A Gilchrist
Journal:  BMC Genomics       Date:  2022-05-30       Impact factor: 4.547

6.  Electrostatics in the ribosomal tunnel modulate chain elongation rates.

Authors:  Jianli Lu; Carol Deutsch
Journal:  J Mol Biol       Date:  2008-09-16       Impact factor: 5.469

7.  Hysteresis as a Marker for Complex, Overlapping Landscapes in Proteins.

Authors:  Benjamin T Andrews; Dominique T Capraro; Joanna I Sulkowska; José N Onuchic; Patricia A Jennings
Journal:  J Phys Chem Lett       Date:  2012-12-18       Impact factor: 6.475

8.  Synonymous codon usage influences the local protein structure observed.

Authors:  Rhodri Saunders; Charlotte M Deane
Journal:  Nucleic Acids Res       Date:  2010-06-08       Impact factor: 16.971

9.  Evolutionary conservation of codon optimality reveals hidden signatures of cotranslational folding.

Authors:  Sebastian Pechmann; Judith Frydman
Journal:  Nat Struct Mol Biol       Date:  2012-12-23       Impact factor: 15.369

10.  Discovery of proteomic code with mRNA assisted protein folding.

Authors:  Jan C Biro
Journal:  Int J Mol Sci       Date:  2008-12-03       Impact factor: 6.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.