Evidence map›Paper›PMID 34262940›Full record

ReviewFrontiers in molecular biosciences2021

Quantitative Modeling of Protein Synthesis Using Ribosome Profiling Data.

Vandana Yadav, Inayat Ullah Irshad, Hemant Kumar, Ajeet K Sharma

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Landscape and regulation of mRNA translation in the earlybioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Combinations of slow-translating codon clusters can increase mRNA half-life inProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vandana YadavDepartment of Physics, Indian Institute of Technology Madras, Chennai, India.
Inayat Ullah IrshadDepartment of Physics, Indian Institute of Technology Jammu, Jammu, India.
Hemant KumarSchool of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India.
Ajeet K SharmaDepartment of Physics, Indian Institute of Technology Jammu, Jammu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative prediction on protein synthesis requires accurate translation initiation and codon translation rates. Ribosome profiling data, which provide steady-state distribution of relative ribosome occupancies along a transcript, can be used to extract these rate parameters. Various methods have been developed in the past few years to measure translation-initiation and codon translation rates from ribosome profiling data. In the review, we provide a detailed analysis of the key methods employed to extract the translation rate parameters from ribosome profiling data. We further discuss how these approaches were used to decipher the role of various structural and sequence-based features of mRNA molecules in the regulation of gene expression. The utilization of these accurate rate parameters in computational modeling of protein synthesis may provide new insights into the kinetic control of the process of gene expression.

Indexed as

codon translation ratecodon usage biasquantitative modeling of protein synthesisribo-seqribosome profilingtranslation-initiation rate

Identifiers

PMID34262940
PMCPMC8274658

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.