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Structure based approach for understanding organism specific recognition of protein-RNA complexes

Overview of attention for article published in Biology Direct, March 2015
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Title
Structure based approach for understanding organism specific recognition of protein-RNA complexes
Published in
Biology Direct, March 2015
DOI 10.1186/s13062-015-0039-8
Pubmed ID
Authors

Raju Nagarajan, Sonia Pankaj Chothani, Chandrasekaran Ramakrishnan, Masakazu Sekijima, M Michael Gromiha

Abstract

Protein-RNA interactions perform diverse functions within the cell. Understanding the recognition mechanism of protein-RNA complexes has been a challenging task in molecular and computational biology. In earlier works, the recognition mechanisms have been studied for a specific complex or using a set of non-redundant complexes. In this work, we have constructed 18 sets of same protein-RNA complexes belonging to different organisms from Protein Data Bank (PDB). The similarities and differences in each set of complexes have been revealed in terms of various sequence and structure based features such as root mean square deviation, sequence homology, propensity of binding site residues, variance, conservation at binding sites, binding segments, binding motifs of amino acid residues and nucleotides, preferred amino acid-nucleotide pairs and influence of neighboring residues for binding. We found that the proteins of mesophilic organisms have more number of binding sites than thermophiles and the binding propensities of amino acid residues are distinct in E. coli, H. sapiens, S. cerevisiae, thermophiles and archaea. Proteins prefer to bind with RNA using a single residue segment in all the organisms while RNA prefers to use a stretch of up to six nucleotides for binding with proteins. We have developed amino acid residue-nucleotide pair potentials for different organisms, which could be used for predicting the binding specificity. Further, molecular dynamics simulation studies on aspartyl tRNA synthetase complexed with aspartyl tRNA showed specific modes of recognition in E. coli, T. thermophilus and S. cerevisiae. Based on structural analysis and molecular dynamics simulations we suggest that the mode of recognition depends on the type of the organism in a protein-RNA complex. This article was reviewed by Sandor Pongor, Gajendra Raghava and Narayanaswamy Srinivasan.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 9%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 39%
Researcher 7 30%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Professor 1 4%
Other 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 65%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 February 2016.
All research outputs
#13,637,031
of 23,702,491 outputs
Outputs from Biology Direct
#311
of 497 outputs
Outputs of similar age
#122,050
of 259,867 outputs
Outputs of similar age from Biology Direct
#6
of 8 outputs
Altmetric has tracked 23,702,491 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 259,867 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.