Evidence map›Paper›PMID 22899623›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Post-translational modification: nature's escape from genetic imprisonment and the basis for dynamic information encoding.

Sudhakaran Prabakaran, Guy Lippens, Hanno Steen, Jeremy Gunawardena

Open access · greenAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
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

165 citing papers in PubMed, 337 citations in OpenAlex.

  1. Article
  2. Article
  3. Splicing-driven post-translational dysregulation: a new frontier for precision cancer medicine and immunotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  4. CLASPP: A unified model for predicting post-translational modifications.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

105 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Sudhakaran PrabakaranDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Guy Lippens
Hanno Steen
Jeremy Gunawardena
Harvard University · USBoston Children's Hospital · USUniversité Lille Nord de France · FR

Funding

Complex Dynamics in Multisite PhosphorylationR01GM081578 · NIGMS · HARVARD MEDICAL SCHOOL · PI GUNAWARDENA, JEREMY · 2008 to 2011
$1.4M
Defining the true nature of the minimal cell cycle with quantitative proteomicsR01GM094844 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI STEEN, HANNO · 2010 to 2013
$1.4M
NIGMS NIH HHS R01 GM081578NIGMS NIH HHS R01-GM081578NIGMS NIH HHS R01 GM094844
6 · The paper itself

Abstract

We discuss protein post-translational modification (PTM) from an information processing perspective. PTM at multiple sites on a protein creates a combinatorial explosion in the number of potential 'mod-forms', or global patterns of modification. Distinct mod-forms can elicit distinct downstream responses, so that the overall response depends partly on the effectiveness of a particular mod-form to elicit a response and partly on the stoichiometry of that mod-form in the molecular population. We introduce the 'mod-form distribution'-the relative stoichiometries of each mod-form-as the most informative measure of a protein's state. Distinct mod-form distributions may summarize information about distinct cellular and physiological conditions and allow downstream processes to interpret this information accordingly. Such information 'encoding' by PTMs may facilitate evolution by weakening the need to directly link upstream conditions to downstream responses. Mod-form distributions provide a quantitative framework in which to interpret ideas of 'PTM codes' that are emerging in several areas of biology, as we show by reviewing examples of ion channels, GPCRs, microtubules, and transcriptional co-regulators. We focus particularly on examples other than the well-known 'histone code', to emphasize the pervasive use of information encoding in molecular biology. Finally, we touch briefly on new methods for measuring mod-form distributions.

Indexed as

Protein Processing, Post-TranslationalAcetylationAnimalsHistone CodeHumansIon ChannelsMethylationMicrotubulesPhosphorylationReceptors, G-Protein-CoupledSumoylationTranscription FactorsUbiquitinationIon ChannelsReceptors, G-Protein-CoupledTranscription Factors

Identifiers

PMID22899623
PMCPMC3473174
OpenAlexW2107003257

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.