ReviewBiochemical Society transactions2014
Computational characterization of moonlighting proteins.
Review in Biochemical Society transactions, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- Moonlighting enzymes: when cellular context defines specificity.Cellular and molecular life sciences : CMLS · 2023Review
- Article
- Moonlighting Proteins Shine New Light on Molecular Signaling Niches.International journal of molecular sciences · 2021Review
- Structural Predictive Model of Presenilin-2 Protein and Analysis of Structural Effects of Familial Alzheimer's Disease Mutations.Biochemistry research international · 2021Article
- Extreme environments: a source of biosurfactants for biotechnological applications.Extremophiles : life under extreme conditions · 2020Review
- Moonlighting Proteins Are Important Players in Cancer Immunology.Frontiers in immunology · 2020Review
- Exploring the Potential Role of Moonlighting Function of the Surface-Associated Proteins FromFrontiers in immunology · 2019Article
- Article
- Multifunctional Proteins: Involvement in Human Diseases and Targets of Current Drugs.The protein journal · 2018Article
- Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions.Cellular and molecular life sciences : CMLS · 2017Review
- DextMP: deep dive into text for predicting moonlighting proteins.Bioinformatics (Oxford, England) · 2017Article
- Commentary: Systems Biology Approach to Model the Life Cycle ofFrontiers in cellular and infection microbiology · 2017Article
- Characterizing the Syphilis-Causing Treponema pallidum ssp. pallidum Proteome Using Complementary Mass Spectrometry.PLoS neglected tropical diseases · 2016Article
- The Expanding Landscape of Moonlighting Proteins in Yeasts.Microbiology and molecular biology reviews : MMBR · 2016Review
- Genome-scale prediction of moonlighting proteins using diverse protein association information.Bioinformatics (Oxford, England) · 2016Article
- Bioinformatics and Moonlighting Proteins.Frontiers in bioengineering and biotechnology · 2015Article
- Why study moonlighting proteins?Frontiers in genetics · 2015Article
- PrOnto database : GO term functional dissimilarity inferred from biological data.Frontiers in genetics · 2015Article
- Genome-scale identification and characterization of moonlighting proteins.Biology direct · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Moonlighting proteins perform multiple independent cellular functions within one polypeptide chain. Moonlighting proteins switch functions depending on various factors including the cell-type in which they are expressed, cellular location, oligomerization status and the binding of different ligands at different sites. Although an increasing number of moonlighting proteins have been experimentally identified in recent years, the quantity of known moonlighting proteins is insufficient to elucidate their overall landscape. Moreover, most moonlighting proteins have been identified as a serendipitous discovery. Hence, characterization of moonlighting proteins using bioinformatics approaches can have a significant impact on the overall understanding of protein function. In this work, we provide a short review of existing computational approaches for illuminating the functional diversity of moonlighting proteins.
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Registered trials
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.