Evidence map›Paper›PMID 40270594›Full record

ArticleFrontiers in molecular biosciences2025

Positional distribution and conservation of major phosphorylated sites in the human kinome.

Athira Perunelly Gopalakrishnan, Prathik Basthikoppa Shivamurthy, Mukhtar Ahmed, Samseera Ummar, Poornima Ramesh, Sonet Daniel Thomas, Althaf Mahin, Mahammad Nisar, Sowmya Soman, Yashwanth Subbannayya and 1 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

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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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Athira Perunelly GopalakrishnanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Prathik Basthikoppa ShivamurthyCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Mukhtar AhmedDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Samseera UmmarCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Poornima RameshCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Sonet Daniel ThomasCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Althaf MahinCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Mahammad NisarCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Sowmya SomanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.
Yashwanth SubbannayyaSchool of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Rajesh RajuCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human protein kinome is a group of over 500 therapeutically relevant kinases. Exemplified by over 10,000 phosphorylated sites reported in global phosphoproteomes, kinases are also highly regulated by phosphorylation. Currently, 1008 phosphorylated sites in 273 kinases are associated with their regulation of activation/inhibition, and a few in 30 kinases are associated with altered activity. Phosphorylated sites in 196 kinases are related to other molecular functions such as localization and protein interactions. Over 8,000 phosphorylated sites, including all those in 517 kinases are unassigned to any functions. This imposes a significant bias and challenge for the effective analysis of global phosphoproteomics datasets. Hence, we derived a set of stably and frequently detected phosphorylated sites (representative phosphorylated sites) across diverse experimental conditions annotated in the PhosphoSitePlus database and presumed them to be relevant to the human kinase regulatory network. Analysis of these representative phosphorylated sites led to the classification of 449 kinases into four distinct categories (kinases with phosphorylated sites apportioned (PaKD) and enigmatic (PeKD), and those with predominantly within kinase domain (PiKD) and outside kinase domain (PoKD)). Knowledge-based functional analysis and sequence conservation across the family/subfamily identified phosphorylated sites unique to specific kinases that could contribute to their unique functions. This classification of representative kinase phosphorylated sites enhance our understanding of prioritized validation and provides a novel framework for targeted phosphorylated site enrichment approaches. Phosphorylated sites in kinases associated with dysregulation in diseases were frequently located outside the kinase domain, and suggesting their regulatory roles and opportunities for phosphorylated site-directed therapeutic approaches.

Indexed as

functional phosphorylated siteskinase domainkinase familykinome classificationpredominant phosphorylated sites

Identifiers

PMID40270594
PMCPMC12015135

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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.